Calavera AI: an offline ofrenda that writes calaveritas for the people you miss

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine.

What I Built

Calavera AI is an Android app for Día de los Muertos that keeps a family's memories of the people they've lost, and uses them to write a calaverita literaria for each of them. Everything runs on the phone: three open-weight models do the work, and nothing you put into the app ever leaves it.

A calaverita literaria is a Mexican tradition: a short, rhyming, affectionate (and usually cheeky) poem in which Death comes to take someone, written as if they were still here. They're read aloud, printed in newspapers and left on altars every November. They're funny on purpose. They work because they're specific: a grandmother who burned the tortillas every Sunday and blamed the stove gets a very different poem than an uncle who fixed every radio in the barrio.

That's what the app is for. You build a small archive of a person (who they were, the stories the family tells about them, photos of the things they left behind) and the app turns it into three things:

• A digital ofrenda. Photograph an heirloom (a rosary, a candle, their favourite cup) and the app recognises it, explains its traditional meaning, and places it on the right tier of a three-tier altar: Cielo (heaven), Tierra (earth) or Inframundo (the underworld).
• A memory archive you can search by meaning: "who loved to dance?" finds the right story even if it never uses the word "dance".
• Calaveritas written from those memories, in Spanish, English, or Spanish with an English translation, on a parchment card you can recite, share or save.

How I interpreted "Ghost in the Machine"

I took the theme literally in the gentlest way I could think of: the people we miss live on in the stories we keep telling about them, and here those stories live inside a machine that never sends them anywhere. The "ghost" is the voice the poem gives back to someone, and the "machine" is a phone that can do it with the internet switched off, in a cemetery, on the night of November 1.

Why privacy is the whole point

Memories aren't data in the usual sense. They're how we feel about someone: the joke only your family understands, the illness nobody talks about, the photo of a hand-written recipe. You wouldn't want a company training its next model on your grandmother, and you shouldn't have to trust a privacy policy to make sure it doesn't. So the app is built so that it can't send anything:

• no account and no sign-in;
• no server, no analytics, no crash reporter;
• the only network access is downloading the open models once, from Hugging Face, and every file is checked against its published SHA-256;
• after that, the whole app works in airplane mode.

Demo

The video is built from screenshots of the real app running on an Android emulator. Its voiceover is AI-generated with ElevenLabs text-to-speech: that's the only part of this project that used a cloud service. The app itself never does.

Try it: install the Android APK from the v1.0.1 release (arm64, 103 MB). On first launch it recommends a model pack for your phone and downloads it (about 2.1 GB for the Lite pack, so use Wi-Fi). There is no login. A good test path:

1. Archive → Remember someone: add a person and a couple of stories.
2. Soul Mirror: photograph or pick a picture of an object (a candle works well) and place it on the altar.
3. Calaveritas: pick "Spanish + English" and write one. Then recite it, save the card, and look at the rhythm check.
4. Archive → Backup & restore: make an encrypted backup and restore it.

Code

codewithveek / calavera-ai

💀 Calavera AI

A 100% offline Día de los Muertos companion. Scan heirlooms for your ofrenda, keep your family's stories in an on-device vector archive, and have an open-weight LLM write a traditional calaverita literaria for the people you miss, with the internet off.

Built for the DEV Hacktoberfest 2026 Open-Source AI Challenge, Week 4: Ghost in the Machine.

---

Why offline

Ancestral memories are private. Every model in Calavera AI runs on the phone's own CPU: photos, stories and poems never leave the device, there is no account, and the app keeps working in a cemetery with no signal. It will also never break because an API is sunset.

The pipeline

 📷 Soul Mirror ──────────┐        (Input layer)
   SmolVLM / Gemma 4 vision│  photo → 512px → name + one sentence → cultural placement
                           ▼
 📜 Memory Archive ── sqlite-vec (Storage layer)
   all-MiniLM-L6-v2        │  text → sentence chunks → 384-d

…

View on GitHub

MIT licensed. Expo SDK 58, React Native 0.88 (New Architecture, Hermes), TypeScript, about 130 source files. The README has the full architecture and build instructions.

How I Built It

The open pieces

Job	Open model / project	Size on the phone
Writing the poems	Gemma 2 2B Instruct (Q4_K_M), or Gemma 4 E2B (Q4_0) on bigger phones	1.7 GB / 2.8 GB
Seeing heirlooms	SmolVLM 500M Instruct (Q8_0) + its vision projector, or Gemma 4 E2B's own vision projector	437 MB + 109 MB / 557 MB
Finding memories	all-MiniLM-L6-v2 (Q8_0) sentence embeddings	25 MB
Running them	llama.cpp through llama.rn (JSI bindings, no bridge)
Storing them	SQLite + sqlite-vec (vector search inside SQLite)

All the weights are GGUF files from Hugging Face. Everything else is Expo and React Native.

The architecture

 📷 Soul Mirror ─────────── photo → 512 px → vision model → name + one sentence
      │                                      → cultural knowledge base → Cielo / Tierra / Inframundo
      ▼
 📜 Memory archive ──────── story → sentence chunks → MiniLM (384-d) → sqlite-vec (partitioned per person)
      │
      ▼
 💀 Calaveritas ─────────── top memories + ofrenda items → Gemma → streamed poem (+ English pass)
      │
      ▼
 🕯️ Tribute ──────────────── parchment card · offline text-to-speech · PNG export · rhythm check

The code follows that shape: one folder per feature (models, engine, mirror, ofrenda, memories, profiles, verse, tributes, backup), route files that are thin wrappers, TanStack Query for everything read from SQLite or disk (with networkMode: 'always', so it behaves the same in airplane mode) and zustand for live state like download progress and the streaming poem.

1. The device check and choosing a model

Phones that can run a 2B model offline range from comfortable to barely. So the first screen measures the phone before it downloads anything:

• Memory: the app reads the phone's total RAM. Under 5.4 GiB it recommends Ofrenda Lite (Gemma 2 2B writes, SmolVLM 500M sees, 2.1 GB in total). From 5.4 GiB it recommends Ofrenda Plus (one multimodal Gemma 4 E2B both writes and sees, 3.2 GB).
• Storage: before downloading, it checks free space for the missing bytes plus 300 MB of headroom, and tells you exactly how much to free up if there isn't enough.
• You choose: the recommendation is a default, not a lock. You can switch packs later and remove the one you don't use.

The names on screen are deliberately not "Gemma 2 2B Q4_K_M". People see "the poet", "the eyes", "lens for the eyes" and "the memory keeper", each with what it does ("Writes the calaveritas"). Loading reads "Waking the poet…". It's an app for families, not for people who know what quantisation is.

2. Downloads that survive leaving the app

Two gigabytes over a phone connection takes a while, and nobody will sit on a setup screen for 40 minutes. My first version downloaded inside the app. As soon as you minimised it, Android froze the process and the download stopped.

So I wrote a small local Expo module in Kotlin that hands every file to Android's own DownloadManager, the same service the Play Store and Chrome use. That gave me a lot for free:

• It keeps going with the app minimised, or even closed. I tested it by reinstalling the app halfway through a download: Android kept downloading, and when the app came back it reattached to the downloads (their IDs are saved), checked the finished files and switched to the pack.
• It runs in parallel. All four files download at once, which cut the time on my test setup from 40+ minutes to about 10–15.
• It shows the system notification, waits for Wi-Fi or a connection by itself, and needs no extra permissions.

Two surprises worth knowing if you try this:

1. DownloadManager allocates the whole file up front, so a .part file's size says nothing about progress. Progress comes from DownloadManager's own byte counts instead.
2. It can only write to the app's folder on shared storage, which is private to the app on Android 11+ and removed on uninstall. Expo's file API can't create files there, so the module also does the atomic rename from .part to the final name.

Nothing is used until it passes a size check and a SHA-256 check against Hugging Face's published hash.

3. The Soul Mirror: a vision model that names your heirloom

The photo is downscaled to 512 px (fewer image tokens, faster, and a small thumbnail to keep), then the vision model is asked what it sees. The model only names the object. A small cultural knowledge base of 17 ofrenda elements decides where it goes and why, because I didn't want a 500M-parameter model inventing traditions:

• a portrait or rosary goes to Cielo;
• pan de muerto, a sugar skull or their favourite drink go to Tierra;
• candles, marigolds (cempasúchil), copal, water and salt go to Inframundo;
• anything personal (a hat, a guitar, a tool) is a recuerdo personal on Tierra.

The Spanish names always come with English beside them ("Las velas · Candles") and a sentence about what the element means. The scan is then saved as a memory, so the poem can mention it.

The most interesting bug of the project lived here. I first forced the vision model to answer in JSON with a llama.cpp grammar built from a JSON schema. It worked, but a single scan took over 10 minutes on my test emulator. Per-thread profiling showed the four inference threads mostly waiting: sampling the next token against the grammar took about 4.7 seconds per token on a weak CPU. The fix was to stop fighting the model. Small vision models naturally answer "Candle. It has an orange flame.", so the prompt now asks for exactly that, and a forgiving, unit-tested parser reads it (it also accepts labelled lines and JSON, even cut off). The same scan dropped to about 27 seconds. A repetition penalty stopped the model looping ("con un poder de vivir, con un poder de vivir…").

4. The memory archive: semantic search inside SQLite

Each story is split into sentence-aligned chunks (up to 480 characters, overlapping by one sentence), each chunk becomes a 384-dimensional vector with MiniLM, and the vectors go into a sqlite-vec vec0 table partitioned by person, with cosine distance. Searching one person's memories only scans their partition. "Ask the archive" uses the same index across everyone.

Everything lives in one SQLite file. That made one bug easy to hit: expo-sqlite's withExclusiveTransactionAsync quietly opens a second connection, and SQLite extensions and the foreign_keys setting are both per-connection. So the vector table "didn't exist" inside transactions, and deleting a person would silently have skipped the cascade to their memories and poems. All writes now go through one helper on the main connection, one transaction at a time.

A second bug only showed up while I was taking the screenshots for this post: whatever I searched for, the newest memory came first, and searching a story's exact words scored it 10%. llama.rn's embedding() empties the model's cache but keeps a list of the previous prompt's tokens, so the next text skipped the part it shared with the last one and was embedded from a fragment. Clearing that state before each embedding (clearCache()) put the exact match back on top, and a one-time migration re-indexes memories saved before the fix.

5. Writing the calaverita

The poem is retrieval-augmented generation on a phone:

1. Retrieve: the four memories closest to the person's profile and anything you asked to include, capped at about 1,100 characters so the CPU doesn't spend forever reading the prompt, plus the names of their ofrenda items.
2. Prompt: a fixed block of rules (two or three quatrains, aim for 8 syllables a line, witty but never cruel, Death comes for them) followed by the person. The rules come first and never change, so llama.cpp can reuse their KV cache between poems.
3. Choose: a tone slider from tender homage to biting satire, how Death arrives (La Catrina, La Parca or La Muerte) and the language.
4. Plan, then write: the model first plans rhyming pairs inside a hidden <rimas> tag, then writes the poem. Small models sometimes forget to close that tag, which made perfectly good poems vanish. The parser now treats everything after the one-line plan as the poem.
5. Stream: tokens are batched into about 12 screen updates a second, and only the poem component re-renders.

Spanish, English or both. Calaveritas are a Spanish-language tradition, but most people reading this post (and many families) want to understand the poem. The default writes the Spanish original and then runs a second pass that translates it line by line into English, streamed underneath. A failed translation never costs you the poem.

The tribute. The poem goes on a parchment card with the person's name and years, which you can save as a PNG or share. The phone's offline text-to-speech recites it in a Mexican Spanish voice, then the English translation in an English one. A rhythm check counts syllables per line the way Spanish poetry does (joining vowels across words, the sinalefa, and adjusting for where the last word is stressed) and shows which lines have the traditional eight-syllable beat. English poems get a simpler estimate. It's honest: a 2B model writes long lines, and the check says so.

6. Encrypted backups: lose the phone, not the memories

Keeping everything on the phone has an obvious cost: if you lose the phone, you lose your grandmother's stories. You might also want them on a new phone, or want to give your cousin everything you've collected about her.

That's what the encrypted backup is for. Archive → Backup & restore packs everything into one file:

• What's inside: your loved ones, their memories, the heirloom photos and every calaverita. The AI models aren't included (a new phone downloads them again), so a typical backup is a few megabytes, small enough for a chat or an email.
• How it's locked: AES-256-GCM, with the key derived from your passphrase using PBKDF2-SHA256 at 600,000 iterations. The passphrase never leaves the phone and is never stored. Without it, nobody can open the file, including me. The key derivation runs in native Kotlin (a second tiny local module), because a pure-JavaScript PBKDF2 at that strength would take far too long on a cheap phone. The file's header is authenticated too, so it can't be quietly altered.
• Where it goes: you choose. Android's share sheet sends it to Drive, a chat with yourself, email or Bluetooth, or you save it to a folder.
• Restoring: open the file on any phone, enter the passphrase, see what's inside ("Abuela Rosa · 3 memories · 2 heirlooms · 2 calaveritas") and add it. People already on that phone aren't duplicated, and memories are re-indexed on the new phone, so the file doesn't depend on which model pack you use.
• Sharing one person with family: from a person's page, "Share Abuela Rosa with family" makes a backup of just her. Your sibling adds her to their own Calavera AI and can add their own memories. Día de los Muertos is a family tradition; the archive can be too.

Because it's standard cryptography and not something home-made, I could check it from outside the app: a backup written by Node.js's built-in crypto restores in the app (and a wrong passphrase is refused), and a backup made by the app decrypts in Node, with the heirloom photo byte-for-byte identical to the original.

That's how I squared "nothing leaves the device" with "don't lose it": the only copy that ever leaves is one you made, encrypted with a passphrase only you know, sent where you chose.

7. Making it work on a cheap phone

The target was phones with 4–6 GB of RAM, so performance shaped almost every decision:

• One big model in memory at a time. A first-in, first-out queue serialises all inference, and phones under 7.5 GB keep a single generative model loaded. The vision add-on is dropped before writing, and big models are released 30 seconds after the app goes to the background.
• Memory-mapped weights (mmap, no mlock), a 2K context, one sequence, four threads.
• CPU only, by design. llama.rn ships a Snapdragon Hexagon/OpenCL build to every phone. A config plugin leaves it out, which shrank the APK from 119 MB to 103 MB.
• Lean rendering: React Compiler, FlashList for long lists, activityEnabled screens, candles that flicker on the UI thread with Reanimated (and stop when "reduce motion" is on), and a progress bar that animates with a transform instead of re-laying out.
• Honest numbers. I tested on an x86 Android emulator with 4 GB of RAM, which is harder than a real phone: its virtual CPU has no AVX2, so llama.cpp falls back to slow paths. Even there, Gemma 2 2B writes at about 1.8 tokens a second, and a heirloom scan takes about 27 seconds once the vision model is loaded (the first scan, which loads it, takes closer to two minutes). Modern arm64 phones, which llama.cpp is heavily optimised for, are much faster.

Why Does Open Innovation Matter?

Because this app can't exist any other way.

• Privacy that doesn't depend on trust. With a closed API, every story and photo would be uploaded to someone else's servers to be processed, logged, and maybe used for training. Here, open weights run on the phone, so there's nothing to upload. The privacy isn't a promise in a policy; it's how the app is built.
• It works with the lights, and the internet, off. People visit graves and build ofrendas in places with no signal. Open models running locally don't care.
• It can't be switched off. A family's archive of the dead is supposed to last decades. A closed API can raise its prices, change its terms or shut down. These GGUF files, llama.cpp and SQLite will keep working on that phone regardless.
• I could look inside and change things. The two biggest wins in this project came from being able to see and change how the model runs: dropping the grammar sampler made scans 20× faster, and keeping the same prompt prefix lets llama.cpp reuse its cache. With a black-box API I could only have waited.
• It costs nothing to run. No per-token bill, so writing ten versions of a poem is free.
• Right-sized models. I could pick a 25 MB embedding model, a 500M vision model and a 2B writer for cheap phones, and a bigger Gemma 4 for better ones, instead of one model sized for a data centre.

My Agent Session

Claude Code Session <synthetic>

You

<ide_opened_file>The user opened the file ~\hacks\calavera-ai.gitignore in the IDE. This may or may not be related to the current task.</ide_opened_file>

Install the DevRelay MCP server and skills on this machine. Check which OS you are running on: on macOS or Linux, run curl -fsSL https://devrelay.com/install.sh | sh in the shell; on Windows, run iwr -useb https://devrelay.com/install.ps1 | iex in PowerShell. Once the installer finishes, confirm that DevRelay and its skills are registered.

Agent

Failed to authenticate: OAuth session expired and could not be refreshed

You

go on

Switched to claude-opus-5-5

Agent

I'm on Windows, so I'll use the PowerShell installer. First I'll download the script and read it before running it.

Agent

▸ PowerShell {"command":"$d = \"~\\AppData\\Local\\Temp\\claude\\home-hacks-calavera-ai\\8...

Input

{"command":"$d = \"~\\AppData\\Local\\Temp\\claude\\home-hacks-calavera-ai\\8c84ff32-90b1-450d-ab12-4d3f162f7212\\scratchpad\\devrelay\"; New-Item -ItemType Directory -Force $d | Out-Null; Invoke-WebR...

Output

<persisted-output>
Output too large (30.2KB). Full output saved to: ~\.claude\projects\home-hacks-calavera-ai\8c84ff32-90b1-450d-ab12-4d3f162f7212\tool-results\bdk5hs9su.txt

Preview (first 2KB):
# DevRelay installer for Windows.
#
#   iwr -useb https://devrelay.com/install.ps1 | iex
#
# Installs the gateway binary, wires it into every AI coding host it finds,
# installs the agent skills, and registers a daily update check.
#
# To pass options, download first:
#   iwr -useb https://devrelay.com/install.ps1 -OutFile install.ps1
#   .\install.ps1 -Hosts "opencode,claude-code" -NoAutoUpdate

[CmdletBinding()]
param(
    [switch]$NoAutoUpdate,
    [switch]$NoSkills,
    [switch]$NoTelemetry,
    [switch]$DetailedTelemetry,
    [switch]$NoPathUpdate,
    [switch]$NoLogin,
    [string]$Hosts = "all",
    [string]$Ref = ""
)

$ErrorActionPreference = "Stop"

$BaseUrl = "https://devrelay.com"
# Filled in by the server from `install.ps1?ref=LABEL`; -Ref overrides it.
$InstallRef = if ($Ref) { $Ref } else { "" }

function Write-Ok    { param($m) Write-Host "  [ok] $m" -ForegroundColor Green }
function Write-Skip  { param($m) Write-Host "  - $m" -ForegroundColor DarkGray }
function Write-Warn2 { param($m) Write-Host "  ! $m" -ForegroundColor Yellow }

$SupportedHostIds = @(
    "claude-code", "claude-desktop", "cursor", "windsurf", "continue",
    "cline", "roo-code", "kilo-code", "antigravity", "gemini-cli",
    "opencode", "codex", "copilot", "zed", "kiro", "amp"
)
$SelectedHostIds = @()
if ($Hosts -eq "all" -or $Hosts -eq "none") {
    $HostSelection = $Hosts
} elseif ([string]::IsNullOrWhiteSpace($Hosts)) {
    throw "-Hosts requires a value (for example: -Hosts 'opencode,claude-code')"
} else {
    $HostSelection = "list"
    $SelectedHostIds = @($Hosts.Split(','))
    foreach ($HostId in $SelectedHostIds) {
        if ([string]::IsNullOrWhiteSpace($HostId) -or $SupportedHostIds -notcontains $HostId) {
            throw "Unknown host ID '$HostId'. Supported IDs: $($SupportedHostIds -join ', ')"
        }
    }
}

function Test-HostSelected {
    param([string]$Id)
...
</persisted-output>

Agent

▸ Read ~\.claude\projects\home-hacks-calavera-ai\8c84ff32-90b1-450d-ab12-4d3f162f721...

Input

~\.claude\projects\home-hacks-calavera-ai\8c84ff32-90b1-450d-ab12-4d3f162f7212\tool-results\bdk5hs9su.txt

Output

1    # DevRelay installer for Windows.
2   #
3   #   iwr -useb https://devrelay.com/install.ps1 | iex
4   #
5   # Installs the gateway binary, wires it into every AI coding host it finds,
6   # installs the agent skills, and registers a daily update check.
7   #
8   # To pass options, download first:
9   #   iwr -useb https://devrelay.com/install.ps1 -OutFile install.ps1
10  #   .\install.ps1 -Hosts "opencode,claude-code" -NoAutoUpdate
11  
12  [CmdletBinding()]
13  param(
14      [switch]$NoAutoUpdate,
15      [switch]$NoSkills,
16      [switch]$NoTelemetry,
17      [switch]$DetailedTelemetry,
18      [switch]$NoPathUpdate,
19      [switch]$NoLogin,
20      [string]$Hosts = "all",
21      [string]$Ref = ""
22  )
23  
24  $ErrorActionPreference = "Stop"
25  
26  $BaseUrl = "https://devrelay.com"
27  # Filled in by the server from `install.ps1?ref=LABEL`; -Ref overrides it.
28  $InstallRef = if ($Ref) { $Ref } else { "" }
29  
30  function Write-Ok    { param($m) Write-Host "  [ok] $m" -ForegroundColor Green }
31  function Write-Skip  { param($m) Write-Host "  - $m" -ForegroundColor DarkGray }
32  function Write-Warn2 { param($m) Write-Host "  ! $m" -ForegroundColor Yellow }
33  
34  $SupportedHostIds = @(
35      "claude-code", "claude-desktop", "cursor", "windsurf", "continue",
36      "cline", "roo-code", "kilo-code", "antigravity", "gemini-cli",
37      "opencode", "codex", "copilot", "zed", "kiro", "amp"
38  )
39  $SelectedHostIds = @()
40  if ($Hosts -eq "all" -or $Hosts -eq "none") {
41      $HostSelection = $Hosts
42  } elseif ([string]::IsNullOrWhiteSpace($Hosts)) {
43      throw "-Hosts requires a value (for example: -Hosts 'opencode,claude-code')"
44  } else {
45      $HostSelection = "list"
46      $SelectedHostIds = @($Hosts.Split(','))
47      foreach ($HostId in $SelectedHostIds) {
48          if ([string]::IsNullOrWhiteSpace($HostId) -or $SupportedHostIds -notcontains $HostId) {
49              throw "Unknown host ID '$HostId'. Supported IDs: $($SupportedHostIds -join ', ')"
50          }
51      }
52  }
53  
54  function Test-HostSelected {
55      param([string]$Id)
56      return $HostSelection -eq "all" -or ($HostSelection -eq "list" -and $SelectedHostIds -contains $Id)
57  }
58  
59  Write-Host ""
60  Write-Host "=== DevRelay Agentic Gateway Installer (Windows) ===" -ForegroundColor Cyan
61  Write-Host ""
62  
63  $ConfigDir  = Join-Path $env:USERPROFILE ".devrelay"
64  $InstallDir = Join-Path $ConfigDir "bin"
65  $EnvFile    = Join-Path $ConfigDir "env"
66  New-Item -ItemType Directory -Force -Path $InstallDir | Out-Null
67  
68  $BinaryPath = Join-Path $InstallDir "dev_mlh_mcp_server.exe"
69  
70  # ------------------------------------------------------------------ binary ---
71  
72  $DownloadSuccess = $false
73  $BinaryUrl = "$BaseUrl/releases/latest/devrelay-windows-x86_64.exe"
74  
75  try {
76      Write-Host "-> Downloading $BinaryUrl" -ForegroundColor Cyan
77      Invoke-WebRequest -Uri $BinaryUrl -OutFile "$BinaryPath.tmp" -UseBasicParsing
78      # A host that serves index.html for unknown paths would otherwise leave us
79      # with an "executable" full of HTML.
80      $head = [System.IO.File]::ReadAllBytes("$BinaryPath.tmp")
81      if ($head.Length -gt 2 -and $head[0] -eq 0x4D -and $head[1] -eq 0x5A) {
82          Move-Item -Path "$BinaryPath.tmp" -Destination $BinaryPath -Force
83          $DownloadSuccess = $true
84          Write-Ok "Downloaded release binary"
85      } else {
86          Remove-Item "$BinaryPath.tmp" -Force -ErrorAction SilentlyContinue
87          Write-Warn2 "Release URL did not return a Windows executable."
88      }
89  } catch {
90      Write-Warn2 "Release download failed: $($_.Exception.Message)"
91  }
92  
93  if (-not $DownloadSuccess) {
94      foreach ($candidate in @(".\target\release\dev_mlh_mcp_server.exe", ".\target\debug\dev_mlh_mcp_server.exe")) {
95          if (Test-Path $candidate) {
96              Copy-Item $candidate $BinaryPath -Force
97              $DownloadSuccess = $true
98              Write-Ok "Using local build $candidate"
99              break
100         }
101     }
102 }
103 
104 if (-not $DownloadSuccess -and (Get-Command cargo -ErrorAction SilentlyContinue) -and (Test-Path ".\Cargo.toml")) {
105     Write-Host "-> Building from source (this takes a few minutes)..." -ForegroundColor Cyan
106     cargo build --release --bin dev_mlh_mcp_server | Out-Null
107     if (Test-Path ".\target\release\dev_mlh_mcp_server.exe") {
108         Copy-Item ".\target\release\dev_mlh_mcp_server.exe" $BinaryPath -Force
109         $DownloadSuccess = $true
110         Write-Ok "Built from source"
111     }
112 }
113 
114 if (-not $DownloadSuccess) {
115     # Installing a stub that only prints a message is worse than failing: the
116     # AI host would report a healthy MCP server that answers nothing.
117     throw "Could not obtain a gateway binary. Tried $BinaryUrl. Install Rust and re-run from a checkout to build from source."
118 }
119 
120 Unblock-File -Path $BinaryPath -ErrorAction SilentlyContinue
121 
122 # Forward to the binary that OTA replaces, without requiring symlink privileges.
123 # cmd.exe requires a BOM-free script; ASCII works in PowerShell 5.1 and 7.
124 $CommandPath = Join-Path $InstallDir "devrelay.cmd"
125 Set-Content -Path $CommandPath -Value '@"%~dp0dev_mlh_mcp_server.exe" %*' -Encoding Ascii
126 
127 $InstalledVersion = (& $BinaryPath --version 2>$null)
128 Write-Host "   $InstalledVersion" -ForegroundColor DarkGray
129 
130 # ------------------------------------------------------------ credentials ---
131 
132 function Set-EnvFileVar {
133     param([string]$Name, [string]$Value)
134     if ([string]::IsNullOrWhiteSpace($Value)) { return }
135     $lines = @()
136     if (Test-Path $EnvFile) {
137         $lines = Get-Content $EnvFile | Where-Object { $_ -notmatch "^\s*(export\s+)?$Name=" }
138     }
139     $lines += "$Name=$Value"
140     Set-Content -Path $EnvFile -Value $lines -Encoding UTF8
141 }
142 
143 function Remove-EnvFileVar {
144     param([string]$Name)
145     if (-not (Test-Path $EnvFile)) { return }
146     $lines = @(Get-Content $EnvFile | Where-Object { $_ -notmatch "^\s*(export\s+)?$Name=" })
147     Set-Content -Path $EnvFile -Value $lines -Encoding UTF8
148 }
149 
150 function Get-EnvFileVar {
151     param([string]$Name)
152     if (-not (Test-Path $EnvFile)) { return "" }
153     $match = Get-Content $EnvFile | Where-Object { $_ -match "^\s*(export\s+)?$Name=" } | Select-Object -Last 1
154     if ($match) { return ($match -replace "^\s*(export\s+)?$Name=", "").Trim('"', "'") }
155     return ""
156 }
157 
158 Write-Host ""
159 Write-Skip "Account sign-in will run at the end of setup (or anytime with: devrelay login)"
160 
161 # Basic telemetry is on unless opted out; with neither switch a reinstall keeps
162 # the user's existing choice. The opt-out goes in the env file because every
163 # release honors it, including ones that predate `devrelay telemetry`.
164 if ($NoTelemetry) {
165     Set-EnvFileVar "DEVRELAY_TELEMETRY_DISABLED" "1"
166     Write-Ok "Telemetry disabled"
167 } elseif ($DetailedTelemetry) {
168     $DetailedTelemetryOn = $false
169     try {
170         & $BinaryPath telemetry detailed *> $null
171         $DetailedTelemetryOn = ($LASTEXITCODE -eq 0)
172     } catch {
173         $DetailedTelemetryOn = $false
174     }
175     if ($DetailedTelemetryOn) {
176         Remove-EnvFileVar "DEVRELAY_TELEMETRY_DISABLED"
177         Write-Ok "Detailed telemetry on  (change with: devrelay telemetry on|off)"
178     } else {
179         Write-Warn2 "This release cannot turn on detailed telemetry; run devrelay telemetry detailed after it updates."
180     }
181 }
182 
183 # Where this install came from (`?ref=` on devrelay.com). The gateway reports
184 # it with its telemetry; a malformed label is dropped rather than stored.
185 if ($InstallRef -cmatch '^[A-Za-z0-9._-]{1,64}$') {
186     Set-EnvFileVar "DEVRELAY_INSTALL_REF" $InstallRef
187 }
188 
189 # ----------------------------------------------------------------- clients ---
190 
191 Write-Host ""
192 Write-Host "-> Configuring AI coding hosts..." -ForegroundColor Cyan
193 
194 function Set-McpConfig {
195     param(
196         [string]$Id,
197         [string]$Label,
198         [string]$Path,
199         [string]$Trigger,
200         [string]$Key = "mcpServers",
201         [string]$Format = "standard"
202     )
203 
204     if (-not (Test-HostSelected $Id)) {
205         Write-Skip "$Label`: not selected"
206         return $false
207     }
208 
209     if (-not (Test-Path $Path) -and -not (Test-Path $Trigger)) {
210         Write-Skip "$Label`: not detected"
211         return $false
212     }
213 
214     try {
215         $config = [ordered]@{}
216         if (Test-Path $Path) {
217             $raw = (Get-Content -Path $Path -Raw)
218             if ($raw -and $raw.Trim()) {
219                 # Throws on malformed JSON, which sends us to the catch below
220                 # rather than overwriting the user's config with a fresh object.
221                 $parsed = ConvertFrom-Json $raw -ErrorAction Stop
222                 $config = [ordered]@{}
223                 foreach ($p in $parsed.PSObject.Properties) { $config[$p.Name] = $p.Value }
224             }
225             Copy-Item $Path "$Path.devrelay.bak" -Force
226         }
227 
228         $servers = [ordered]@{}
229         if ($config[$Key]) {
230             foreach ($p in $config[$Key].PSObject.Properties) { $servers[$p.Name] = $p.Value }
231         }
232         if ($Format -eq "opencode") {
233             $servers["devrelay-gateway"] = [ordered]@{
234                 type = "local"
235                 command = @($BinaryPath, "--stdio")
236                 enabled = $true
237             }
238         } elseif ($Format -eq "copilot-cli") {
239             $servers["devrelay-gateway"] = [ordered]@{
240                 type = "local"
241                 command = $BinaryPath
242                 args = @("--stdio")
243                 tools = @("*")
244             }
245         } elseif ($Format -eq "vscode") {
246             $servers["devrelay-gateway"] = [ordered]@{
247                 type = "stdio"
248                 command = $BinaryPath
249                 args = @("--stdio")
250             }
251         } else {
252             $servers["devrelay-gateway"] = @{ command = $BinaryPath; args = @("--stdio") }
253         }
254         $config[$Key] = $servers
255 
256         $dir = Split-Path -Parent $Path
257         if ($dir -and -not (Test-Path $dir)) { New-Item -ItemType Directory -Force -Path $dir | Out-Null }
258         ConvertTo-Json $config -Depth 20 | Set-Content -Path $Path -Encoding UTF8
259         Write-Ok "$Label ($Path)"
260         return $true
261     } catch {
262         Write-Warn2 "$Label`: config is not valid JSON or could not be written; left untouched."
263         return $false
264     }
265 }
266 
267 function Set-OpenCodeMcpConfig {
268     if (-not (Test-HostSelected "opencode")) {
269         Write-Skip "OpenCode: not selected"
270         return $false
271     }
272 
273     $configDir = Join-Path $env:USERPROFILE ".config\opencode"
274     if ($env:XDG_CONFIG_HOME) {
275         $configDir = Join-Path $env:XDG_CONFIG_HOME "opencode"
276     }
277     $jsonPath = Join-Path $configDir "opencode.json"
278     $jsoncPath = Join-Path $configDir "opencode.jsonc"
279     $stable = Get-Command opencode -ErrorAction SilentlyContinue
280     $beta = Get-Command opencode2 -ErrorAction SilentlyContinue
281 
282     if (-not (Test-Path $configDir) -and -not $stable -and -not $beta) {
283         Write-Skip "OpenCode: not detected"
284         return $false
285     }
286 
287     # OpenCode merges both files with JSONC taking precedence, while its MCP
288     # command currently edits JSON first. Refuse to claim success when we cannot
289     # safely know which effective entry the user intends.
290     if ((Test-Path $jsonPath) -and (Test-Path $jsoncPath)) {
291         Write-Warn2 "OpenCode: both $jsonPath and $jsoncPath exist."
292         Write-Warn2 "Consolidate them or update the higher-precedence JSONC file manually."
293         return $false
294     }
295 
296     if ($stable) {
297         try {
298             & $stable.Source mcp add devrelay-gateway -- $BinaryPath --stdio *> $null
299             if ($LASTEXITCODE -eq 0) {
300                 Write-Ok "OpenCode (opencode mcp add)"
301                 return $true
302             }
303         } catch {
304             Write-Skip "OpenCode (opencode mcp add): $($_.Exception.Message)"
305         }
306     }
307 
308     if ($beta) {
309         try {
310             & $beta.Source mcp add devrelay-gateway --global -- $BinaryPath --stdio *> $null
311             if ($LASTEXITCODE -eq 0) {
312                 Write-Ok "OpenCode 2 (opencode2 mcp add --global)"
313                 return $true
314             }
315         } catch {
316             Write-Skip "OpenCode 2 (opencode2 mcp add --global): $($_.Exception.Message)"
317         }
318     }
319 
320     if (Test-Path $jsoncPath) {
321         Write-Warn2 "OpenCode CLI unavailable; cannot safely edit commented file $jsoncPath."
322         Write-Warn2 "Add the DevRelay MCP entry manually."
323         return $false
324     }
325 
326     try {
327         New-Item -ItemType Directory -Force -Path $configDir | Out-Null
328     } catch {
329         Write-Warn2 "OpenCode: could not create $configDir"
330         return $false
331     }
332     return (Set-McpConfig -Id "opencode" -Label "OpenCode" `
333         -Path $jsonPath -Trigger $configDir -Key "mcp" -Format "opencode")
334 }
335 
336 function Set-CodexMcpConfig {
337     # Codex reads MCP servers only from TOML tables in ~/.codex/config.toml.
338     # Replace our one table as text so the rest of the file stays intact
339     # without needing a TOML parser.
340     if (-not (Test-HostSelected "codex")) {
341         Write-Skip "Codex: not selected"
342         return $false
343     }
344 
345     $codexDir = Join-Path $env:USERPROFILE ".codex"
346     $path = Join-Path $codexDir "config.toml"
347     if (-not (Test-Path $codexDir) -and -not (Test-Path $path)) {
348         Write-Skip "Codex: not detected"
349         return $false
350     }
351 
352     try {
353         $kept = @()
354         if (Test-Path $path) {
355             $skipping = $false
356             foreach ($line in [System.IO.File]::ReadAllLines($path)) {
357                 if ($line -match '^\s*\[') {
358                     $skipping = $line -match '^\s*\[mcp_servers\.devrelay-gateway\]\s*(#.*)?$'
359                 }
360                 if (-not $skipping) { $kept += $line }
361             }
362             Copy-Item $path "$path.devrelay.bak" -Force
363         }
364 
365         # Trailing blanks are dropped so they never pile up across re-runs.
366         $end = $kept.Count
367         while ($end -gt 0 -and [string]::IsNullOrWhiteSpace($kept[$end - 1])) { $end-- }
368         $lines = @()
369         if ($end -gt 0) { $lines = @($kept[0..($end - 1)]) + "" }
370 
371         $tomlBinary = $BinaryPath.Replace('\', '\\').Replace('"', '\"')
372         $lines += "[mcp_servers.devrelay-gateway]"
373         $lines += "command = `"$tomlBinary`""
374         $lines += 'args = ["--stdio"]'
375 
376         # WriteAllLines writes UTF-8 without a BOM, which TOML parsers expect.
377         [System.IO.File]::WriteAllLines($path, [string[]]$lines)
378         Write-Ok "Codex ($path)"
379         return $true
380     } catch {
381         Write-Warn2 "Codex: could not write $path; left untouched."
382         return $false
383     }
384 }
385 
386 $configured = 0
387 # Claude Code keeps user-scoped MCP servers in %USERPROFILE%\.claude.json.
388 if (Set-McpConfig -Id "claude-code" -Label "Claude Code" `
389     -Path (Join-Path $env:USERPROFILE ".claude.json") `
390     -Trigger (Join-Path $env:USERPROFILE ".claude")) { $configured++ }
391 if (Set-McpConfig -Id "claude-desktop" -Label "Claude Desktop" `
392     -Path (Join-Path $env:APPDATA "Claude\claude_desktop_config.json") `
393     -Trigger (Join-Path $env:APPDATA "Claude")) { $configured++ }
394 if (Set-McpConfig -Id "cursor" -Label "Cursor" `
395     -Path (Join-Path $env:USERPROFILE ".cursor\mcp.json") `
396     -Trigger (Join-Path $env:USERPROFILE ".cursor")) { $configured++ }
397 if (Set-McpConfig -Id "windsurf" -Label "Windsurf" `
398     -Path (Join-Path $env:USERPROFILE ".codeium\windsurf\mcp_config.json") `
399     -Trigger (Join-Path $env:USERPROFILE ".codeium\windsurf")) { $configured++ }
400 if (Set-McpConfig -Id "continue" -Label "Continue" `
401     -Path (Join-Path $env:USERPROFILE ".continue\config.json") `
402     -Trigger (Join-Path $env:USERPROFILE ".continue")) { $configured++ }
403 $antigravityConfigDir = Join-Path $env:USERPROFILE ".gemini\config"
404 if (Test-Path $antigravityConfigDir) {
405     if (Set-McpConfig -Id "antigravity" -Label "Antigravity" `
406         -Path (Join-Path $antigravityConfigDir "mcp_config.json") `
407         -Trigger $antigravityConfigDir) { $configured++ }
408 } else {
409     if (Set-McpConfig -Id "antigravity" -Label "Antigravity" `
410         -Path (Join-Path $env:USERPROFILE ".gemini\antigravity\mcp_config.json") `
411         -Trigger (Join-Path $env:USERPROFILE ".gemini\antigravity")) { $configured++ }
412 }
413 if (Set-McpConfig -Id "gemini-cli" -Label "Gemini CLI" `
414     -Path (Join-Path $env:USERPROFILE ".gemini\settings.json") `
415     -Trigger (Join-Path $env:USERPROFILE ".gemini")) { $configured++ }
416 if (Set-OpenCodeMcpConfig)                                                                                                                           { $configured++ }
417 if (Set-CodexMcpConfig)                                                                                                                              { $configured++ }
418 if (Set-McpConfig -Id "copilot" -Label "GitHub Copilot CLI" `
419     -Path (Join-Path $env:USERPROFILE ".copilot\mcp-config.json") `
420     -Trigger (Join-Path $env:USERPROFILE ".copilot") -Key "mcpServers" -Format "copilot-cli") { $configured++ }
421 if (Set-McpConfig -Id "copilot" -Label "VS Code (GitHub Copilot)" `
422     -Path (Join-Path $env:APPDATA "Code\User\mcp.json") `
423     -Trigger (Join-Path $env:APPDATA "Code\User") -Key "servers" -Format "vscode") { $configured++ }
424 if (Set-McpConfig -Id "cline" -Label "VS Code (Cline)" `
425     -Path (Join-Path $env:APPDATA "Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json") `
426     -Trigger (Join-Path $env:APPDATA "Code\User\globalStorage\saoudrizwan.claude-dev")) { $configured++ }
427 if (Set-McpConfig -Id "roo-code" -Label "VS Code (Roo Code)" `
428     -Path (Join-Path $env:APPDATA "Code\User\globalStorage\rooveterinaryinc.roo-cline\settings\cline_mcp_settings.json") `
429     -Trigger (Join-Path $env:APPDATA "Code\User\globalStorage\rooveterinaryinc.roo-cline")) { $configured++ }
430 if (Set-McpConfig -Id "kilo-code" -Label "VS Code (Kilo Code)" `
431     -Path (Join-Path $env:APPDATA "Code\User\globalStorage\kilocode.kilo-code\settings\mcp_settings.json") `
432     -Trigger (Join-Path $env:APPDATA "Code\User\globalStorage\kilocode.kilo-code")) { $configured++ }
433 if (Set-McpConfig -Id "zed" -Label "Zed" `
434     -Path (Join-Path $env:APPDATA "Zed\settings.json") `
435     -Trigger (Join-Path $env:APPDATA "Zed") -Key "context_servers") { $configured++ }
436 if (Set-McpConfig -Id "kiro" -Label "Kiro" `
437     -Path (Join-Path $env:USERPROFILE ".kiro\settings\mcp.json") `
438     -Trigger (Join-Path $env:USERPROFILE ".kiro")) { $configured++ }
439 if (Set-McpConfig -Id "amp" -Label "Amp" `
440     -Path (Join-Path $env:USERPROFILE ".config\amp\settings.json") `
441     -Trigger (Join-Path $env:USERPROFILE ".config\amp") -Key "amp.mcpServers") { $configured++ }
442 
443 if ($configured -eq 0) {
444     if ($HostSelection -eq "none") {
445         Write-Skip "AI host configuration skipped (-Hosts none)."
446     } else {
447         Write-Warn2 "No selected AI hosts were configured. Register $BinaryPath --stdio manually."
448     }
449 }
450 
451 # ------------------------------------------------------------------ skills ---
452 
453 $SyncBaseUrl = if ([string]::IsNullOrWhiteSpace($BaseUrl) -or $BaseUrl -like "{{*}}") {
454     if ($env:DEVRELAY_BASE_URL) { $env:DEVRELAY_BASE_URL } else { "https://devrelay.com" }
455 } else {
456     $BaseUrl
457 }
458 
459 if (-not $NoSkills) {
460     Write-Host ""
461     Write-Host "-> Installing agent skills..." -ForegroundColor Cyan
462     try {
463         $env:DEVRELAY_BASE_URL = $SyncBaseUrl
464         & $BinaryPath --sync-skills
465     } catch {
466         Write-Warn2 "Could not reach $SyncBaseUrl/v1/skills.json. Retry with: $BinaryPath --sync-skills"
467     }
468 }
469 
470 # ------------------------------------------------------ background updates ---
471 
472 if (-not $NoAutoUpdate) {
473     Write-Host ""
474     Write-Host "-> Scheduling background updates..." -ForegroundColor Cyan
475 
476     $UpdateScript = Join-Path $InstallDir "devrelay-update.ps1"
477     @"
478 # Periodic DevRelay refresh. Installed by install.ps1; safe to delete.
479 `$env:DEVRELAY_BASE_URL = "$SyncBaseUrl"
480 `$log = "$ConfigDir\update.log"
481 "--- `$(Get-Date) ---" | Out-File -Append `$log
482 & "$BinaryPath" --self-update *>> `$log
483 & "$BinaryPath" --sync-skills *>> `$log
484 "@ | Set-Content -Path $UpdateScript -Encoding UTF8
485 
486     try {
487         $action  = New-ScheduledTaskAction -Execute "powershell.exe" `
488                        -Argument "-NoProfile -WindowStyle Hidden -ExecutionPolicy Bypass -File `"$UpdateScript`""
489         $trigger = New-ScheduledTaskTrigger -Daily -At 4am
490         $settings = New-ScheduledTaskSettingsSet -StartWhenAvailable -DontStopOnIdleEnd `
491                        -AllowStartIfOnBatteries -AllowHardTerminate
492         Register-ScheduledTask -TaskName "DevRelayUpdate" -Action $action -Trigger $trigger `
493             -Settings $settings -Description "Daily DevRelay gateway and skill refresh" -Force | Out-Null
494         Write-Ok "Scheduled daily update check (Task Scheduler: DevRelayUpdate)"
495     } catch {
496         Write-Warn2 "Could not register the scheduled task: $($_.Exception.Message)"
497         Write-Warn2 "Run $UpdateScript manually to update."
498     }
499 } else {
500     Write-Skip "Background updates skipped (-NoAutoUpdate)."
501 }
502 
503 # -------------------------------------------------------------------- PATH ---
504 
505 if (-not $NoPathUpdate) {
506     $UserPath = [Environment]::GetEnvironmentVariable("PATH", "User")
507     if ($UserPath -notlike "*$InstallDir*") {
508         [Environment]::SetEnvironmentVariable("PATH", "$UserPath;$InstallDir", "User")
509         Write-Ok "Added $InstallDir to your PATH"
510     }
511 } else {
512     Write-Skip "PATH update skipped (-NoPathUpdate)."
513 }
514 
515 # ----------------------------------------------------------------- summary ---
516 
517 Write-Host ""
518 Write-Host "DevRelay is installed." -ForegroundColor Green
519 Write-Host "Command: devrelay ($CommandPath)" -ForegroundColor DarkGray
520 Write-Host ""
521 & $BinaryPath --doctor
522 
523 Write-Host ""
524 Write-Host "What you can do with DevRelay in your coding agent:" -ForegroundColor Cyan
525 Write-Host "  * Community Wisdom: Search real-world DEV (dev.to) discussions and patterns while you code"
526 Write-Host "  * MLH Hackathons & Challenges: Find events, register, check in, and enter DEV Challenges"
527 Write-Host "  * Sponsor Perks & Agent Skills: Claim event promo codes/credits and install sponsor SKILL.md packs"
528 Write-Host "  * Ship & Share: Submit MLH hackathon projects, draft DEV posts, and save coding sessions"
529 Write-Host ""
530 Write-Host "What to do next:" -ForegroundColor Cyan
531 Write-Host "  1. Connect your MLH or DEV (dev.to) account below"
532 Write-Host "  2. Restart your AI coding host so it picks up the new MCP server"
533 
534 Write-Host ""
535 Write-Host "+==========================================================================+" -ForegroundColor Magenta
536 Write-Host "|  SIGN IN TO CONNECT YOUR MLH & DEV ACCOUNT                               |" -ForegroundColor Yellow
537 Write-Host "+--------------------------------------------------------------------------+" -ForegroundColor Magenta
538 Write-Host "|  Heads up: When you press Enter, your browser will open to sign you in.  |" -ForegroundColor Magenta
539 Write-Host "|                                                                          |" -ForegroundColor Magenta
540 Write-Host "|  Please sign in using either:                                            |" -ForegroundColor Magenta
541 Write-Host "|    * The email you associate with MLH (Major League Hacking), or         |" -ForegroundColor Yellow
542 Write-Host "|    * Your DEV (dev.to) account                                           |" -ForegroundColor Yellow
543 Write-Host "+==========================================================================+" -ForegroundColor Magenta
544 
545 function Test-InteractivePromptAvailable {
546     if ($NoLogin -or $env:DEVRELAY_NO_LOGIN -or $env:CI) { return $false }
547     if ($env:DEVRELAY_ASSUME_TTY -eq "1") { return $true }
548     try {
549         $cliArgs = [Environment]::GetCommandLineArgs()
550         if ($cliArgs -match '^(?i)-noni(nteractive)?$') { return $false }
551         if (-not [Environment]::UserInteractive) { return $false }
552         if ([Console]::IsInputRedirected -or [Console]::IsOutputRedirected) { return $false }
553         $helpOut = (& $BinaryPath --help 2>$null) -join "`n"
554         if ($helpOut -notmatch '--login') { return $false }
555         return $true
556     } catch {
557         return $false
558     }
559 }
560 
561 function Show-OnboardingFallback {
562     try {
563         $doctorLines = @(& $BinaryPath --doctor 2>$null)
564     } catch {
565         return $false
566     }
567     $mlhConnected = ""
568     $devConnected = ""
569     foreach ($line in $doctorLines) {
570         if ($line -match '^\s*MLH account\s+connected as\s+(.+)$') {
571             $mlhConnected = $Matches[1].Trim()
572         }
573         if ($line -match '^\s*DEV account\s+connected \(authenticated as\s+([^)]+)\)') {
574             $devConnected = $Matches[1].Trim()
575         }
576     }
577     if (-not $mlhConnected -and -not $devConnected) {
578         return $false
579     }
580 
581     $activeEvent = ""
582     $upcomingEvent = ""
583     try {
584         $eventsRaw = (& $BinaryPath --events 2>$null) -join "`n"
585         if ($eventsRaw -and $eventsRaw.Trim() -ne "Disconnected.") {
586             $events = ConvertFrom-Json $eventsRaw -ErrorAction Stop
587             foreach ($evt in @($events)) {
588                 if ($evt.status -eq "in_progress" -and -not $activeEvent -and $evt.name) {
589                     $activeEvent = $evt.name
590                 } elseif ($evt.status -eq "upcoming" -and -not $upcomingEvent -and $evt.name) {
591                     $upcomingEvent = $evt.name
592                 }
593             }
594         }
595     } catch {
596         $activeEvent = ""
597     }
598 
599     Write-Host ""
600     Write-Host "+==========================================================================+" -ForegroundColor Green
601     Write-Host "|  You're signed in and DevRelay is ready!                                 |" -ForegroundColor Green
602     Write-Host "+==========================================================================+" -ForegroundColor Green
603     if ($mlhConnected) { Write-Host "  | MLH account:  $mlhConnected" -ForegroundColor Cyan }
604     if ($devConnected) {
605         Write-Host "  | DEV account:  @$devConnected (connected on dev.to)" -ForegroundColor Magenta
606     } else {
607         Write-Host "  | DEV account:  not linked yet (link your dev.to account in your MLH profile anytime)" -ForegroundColor DarkGray
608     }
609     if ($activeEvent) {
610         Write-Host "  | MLH event:    $activeEvent (in progress)" -ForegroundColor Yellow
611     } elseif ($upcomingEvent) {
612         Write-Host "  | MLH event:    $upcomingEvent (upcoming)" -ForegroundColor Yellow
613     }
614     Write-Host ""
615     Write-Host "What you might do next in your coding agent:" -ForegroundColor Yellow
616     if ($activeEvent) {
617         Write-Host "  * $activeEvent is live! Ask your agent:" -ForegroundColor White
618         Write-Host "    > `"Check me in to $activeEvent and show me the sponsor promo codes and prize tracks.`"" -ForegroundColor Cyan
619         Write-Host "    > `"Help me submit my project to $activeEvent and enter the prize categories.`"" -ForegroundColor Cyan
620     } elseif ($upcomingEvent) {
621         Write-Host "  * You're registered for upcoming MLH event $upcomingEvent! Ask your agent:" -ForegroundColor White
622         Write-Host "    > `"What prize tracks, sponsor challenges, and Agent Skills are part of $upcomingEvent?`"" -ForegroundColor Cyan
623     } else {
624         Write-Host "  * Explore MLH hackathons & Global Hack Week from your editor - ask your agent:" -ForegroundColor White
625         Write-Host "    > `"What upcoming MLH hackathons or Global Hack Week events can I join?`"" -ForegroundColor Cyan
626     }
627     if ($devConnected) {
628         Write-Host "  * With your DEV (@$devConnected) account connected, ask your agent:" -ForegroundColor White
629         Write-Host "    > `"Search DEV Community Wisdom for real-world patterns before we build this.`"" -ForegroundColor Cyan
630         Write-Host "    > `"Draft a DEV post about what we just solved and save our coding session.`"" -ForegroundColor Cyan
631     } else {
632         Write-Host "  * Tap into the DEV (dev.to) community from your editor:" -ForegroundColor White
633         Write-Host "    > `"Search DEV Community Wisdom for approaches to what I'm building.`"" -ForegroundColor Cyan
634     }
635     Write-Host ""
636     Write-Host "+--------------------------------------------------------------------------+" -ForegroundColor Cyan
637     Write-Host "|  Restart your AI host so it picks up the new MCP server.                 |" -ForegroundColor Cyan
638     Write-Host "+--------------------------------------------------------------------------+" -ForegroundColor Cyan
639     return $true
640 }
641 
642 if (-not $NoLogin -and (Test-InteractivePromptAvailable)) {
643     Write-Host ""
644     Write-Host "  > Press Enter to open your browser and sign in (or type 's' + Enter to skip): " -ForegroundColor Yellow -NoNewline
645     $loginReply = ""
646     try {
647         $loginReply = Read-Host
648     } catch {
649         $loginReply = "skip"
650     }
651     if ([string]::IsNullOrWhiteSpace($loginReply) -or $loginReply -match '^(?i)y(es)?$') {
652         Write-Host ""
653         Write-Host "-> Opening your browser to sign in..." -ForegroundColor Cyan
654         $previousSkipSummary = $env:DEVRELAY_SKIP_POST_LOGIN_SUMMARY
655         try {
656             $env:DEVRELAY_SKIP_POST_LOGIN_SUMMARY = "1"
657             & $BinaryPath login
658             if ($LASTEXITCODE -ne 0) {
659                 Write-Warn2 "Browser sign-in did not complete right now."
660                 Write-Skip "DevRelay is still installed - run 'devrelay login' anytime to finish signing in."
661             }
662         } catch {
663             Write-Warn2 "Browser sign-in did not complete right now."
664             Write-Skip "DevRelay is still installed - run 'devrelay login' anytime to finish signing in."
665         } finally {
666             $env:DEVRELAY_SKIP_POST_LOGIN_SUMMARY = $previousSkipSummary
667         }
668     } else {
669         Write-Host ""
670         Write-Skip "Skipped browser sign-in for now."
671     }
672 } else {
673     Write-Host ""
674     Write-Host "  -> Run 'devrelay login' in your terminal to open your browser and sign in." -ForegroundColor Yellow
675 }
676 
677 $onboardingShown = $false
678 try {
679     $previousErrorAction = $ErrorActionPreference
680     $ErrorActionPreference = "Continue"
681     $onboardingOut = @(& $BinaryPath --onboarding 2>$null)
682     if ($LASTEXITCODE -eq 0 -and $onboardingOut.Count -gt 0) {
683         foreach ($line in $onboardingOut) { Write-Host $line }
684         $onboardingShown = $true
685     }
686 } catch {
687     $onboardingShown = $false
688 } finally {
689     $ErrorActionPreference = $previousErrorAction
690 }
691 
692 if (-not $onboardingShown) {
693     if (-not (Show-OnboardingFallback)) {
694         Write-Host ""
695         Write-Host "+==========================================================================+" -ForegroundColor Green
696         Write-Host "|  DevRelay installation succeeded!                                        |" -ForegroundColor Green
697         Write-Host "+==========================================================================+" -ForegroundColor Green
698         Write-Host "  When you're ready to connect your MLH or DEV (dev.to) account, run: devrelay login" -ForegroundColor Yellow
699         Write-Host "+--------------------------------------------------------------------------+" -ForegroundColor Cyan
700         Write-Host "|  Restart your AI host so it picks up the new MCP server.                 |" -ForegroundColor Cyan
701         Write-Host "+--------------------------------------------------------------------------+" -ForegroundColor Cyan
702     }
703 }
704 Write-Host ""
705 
706 

Agent

▸ PowerShell {"command":"powershell.exe -NoProfile -ExecutionPolicy Bypass -File \"~\\AppD...

Input

{"command":"powershell.exe -NoProfile -ExecutionPolicy Bypass -File \"~\\AppData\\Local\\Temp\\claude\\home-hacks-calavera-ai\\8c84ff32-90b1-450d-ab12-4d3f162f7212\\scratchpad\\devrelay\\install.ps1\"...

Output

=== DevRelay Agentic Gateway Installer (Windows) ===

-> Downloading https://devrelay.com/releases/latest/devrelay-windows-x86_64.exe
  [ok] Downloaded release binary
   devrelay 0.1.27

  - Account sign-in will run at the end of setup (or anytime with: devrelay login)

-> Configuring AI coding hosts...
  ! Claude Code: config is not valid JSON or could not be written; left untouched.
  - Claude Desktop: not detected
  [ok] Cursor (~\.cursor\mcp.json)
  - Windsurf: not detected
  - Continue: not detected
  [ok] Antigravity (~\.gemini\antigravity\mcp_config.json)
  [ok] Gemini CLI (~\.gemini\settings.json)
  ! OpenCode CLI unavailable; cannot safely edit commented file ~\.config\opencode\opencode.jsonc.
  ! Add the DevRelay MCP entry manually.
  - Codex: not detected
  [ok] GitHub Copilot CLI (~\.copilot\mcp-config.json)
  [ok] VS Code (GitHub Copilot) (~\AppData\Roaming\Code\User\mcp.json)
  - VS Code (Cline): not detected
  - VS Code (Roo Code): not detected
  - VS Code (Kilo Code): not detected
  - Zed: not detected
  - Kiro: not detected
  - Amp: not detected

-> Installing agent skills...
  created      ~\.claude\skills\devrelay-challenges\SKILL.md
  created      ~\.claude\skills\devrelay-community-wisdom\SKILL.md
  created      ~\.claude\skills\devrelay-knowledge\SKILL.md
  created      ~\.claude\skills\devrelay-mlh-submissions\SKILL.md
  created      ~\.claude\skills\devrelay-navigator\SKILL.md
  created      ~\.claude\skills\devrelay-offers\SKILL.md
  created      ~\.claude\skills\devrelay-publishing\SKILL.md
  created      ~\.claude\skills\devrelay-sessions\SKILL.md
  created      ~\.claude\skills\devrelay-sponsor-skills\SKILL.md
  created      ~\.agents\skills\devrelay-challenges\SKILL.md
  created      ~\.agents\skills\devrelay-community-wisdom\SKILL.md
  created      ~\.agents\skills\devrelay-knowledge\SKILL.md
  created      ~\.agents\skills\devrelay-mlh-submissions\SKILL.md
  created      ~\.agents\skills\devrelay-navigator\SKILL.md
  created      ~\.agents\skills\devrelay-offers\SKILL.md
  created      ~\.agents\skills\devrelay-publishing\SKILL.md
  created      ~\.agents\skills\devrelay-sessions\SKILL.md
  created      ~\.agents\skills\devrelay-sponsor-skills\SKILL.md
  created      ~\.copilot\skills\devrelay-challenges\SKILL.md
  created      ~\.copilot\skills\devrelay-community-wisdom\SKILL.md
  created      ~\.copilot\skills\devrelay-knowledge\SKILL.md
  created      ~\.copilot\skills\devrelay-mlh-submissions\SKILL.md
  created      ~\.copilot\skills\devrelay-navigator\SKILL.md
  created      ~\.copilot\skills\devrelay-offers\SKILL.md
  created      ~\.copilot\skills\devrelay-publishing\SKILL.md
  created      ~\.copilot\skills\devrelay-sessions\SKILL.md
  created      ~\.copilot\skills\devrelay-sponsor-skills\SKILL.md
  created      ~\.cursor\skills\devrelay-challenges\SKILL.md
  created      ~\.cursor\skills\devrelay-community-wisdom\SKILL.md
  created      ~\.cursor\skills\devrelay-knowledge\SKILL.md
  created      ~\.cursor\skills\devrelay-mlh-submissions\SKILL.md
  created      ~\.cursor\skills\devrelay-navigator\SKILL.md
  created      ~\.cursor\skills\devrelay-offers\SKILL.md
  created      ~\.cursor\skills\devrelay-publishing\SKILL.md
  created      ~\.cursor\skills\devrelay-sessions\SKILL.md
  created      ~\.cursor\skills\devrelay-sponsor-skills\SKILL.md

-> Scheduling background updates...
  ! Could not register the scheduled task: A parameter cannot be found that matches parameter name 'AllowHardTerminate'.
  ! Run ~\.devrelay\bin\devrelay-update.ps1 manually to update.
  [ok] Added ~\.devrelay\bin to your PATH

DevRelay is installed.
Command: devrelay (~\.devrelay\bin\devrelay.cmd)

devrelay 0.1.27
  binary       ~\.devrelay\bin\dev_mlh_mcp_server.exe
  platform     windows-x86_64
  DEV account  not connected. Run `devrelay login`
  MLH account  disconnected — run `devrelay login`
  MLH token    not set — MLH tools need an explicit access_token argument
  telemetry    basic
  skills
    ✓ 56 installed in ~\.claude\skills
    ✓ 70 installed in ~\.agents\skills
    ✓ 9 installed in ~\.copilot\skills
    ✓ 9 installed in ~\.cursor\skills
  auto-update
    ✓ repaired: Task Scheduler entry created
    ✗ no update check has ever completed
      run `devrelay --check-update`
  clients
    ✗ Claude Code (config exists, gateway not registered)
    ✓ Cursor
    ✓ Antigravity
    ✓ Gemini CLI
    ✓ GitHub Copilot CLI
    ✓ VS Code (GitHub Copilot)

3 issue(s) found.

What you can do with DevRelay in your coding agent:
  * Community Wisdom: Search real-world DEV (dev.to) discussions and patterns while you code
  * MLH Hackathons & Challenges: Find events, register, check in, and enter DEV Challenges
  * Sponsor Perks & Agent Skills: Claim event promo codes/credits and install sponsor SKILL.md packs
  * Ship & Share: Submit MLH hackathon projects, draft DEV posts, and save coding sessions

What to do next:
  1. Connect your MLH or DEV (dev.to) account below
  2. Restart your AI coding host so it picks up the new MCP server

+==========================================================================+
|  SIGN IN TO CONNECT YOUR MLH & DEV ACCOUNT                               |
+--------------------------------------------------------------------------+
|  Heads up: When you press Enter, your browser will open to sign you in.  |
|                                                                          |
|  Please sign in using either:                                            |
|    * The email you associate with MLH (Major League Hacking), or         |
|    * Your DEV (dev.to) account                                           |
+==========================================================================+

  -> Run 'devrelay login' in your terminal to open your browser and sign in.

+==========================================================================+
|  DevRelay installation succeeded!                                        |
+==========================================================================+
  When you're ready to connect your MLH or DEV (dev.to) account, run: devrelay login
+--------------------------------------------------------------------------+
|  Restart your AI host so it picks up the new MCP server.                 |
+--------------------------------------------------------------------------+

Agent

▸ PowerShell {"command":"$c = Get-Command claude -ErrorAction SilentlyContinue; if ($c) { ...

Input

{"command":"$c = Get-Command claude -ErrorAction SilentlyContinue; if ($c) { $c.Source; claude mcp add --scope user devrelay-gateway -- \"~\\.devrelay\\bin\\dev_mlh_mcp_server.exe\" --stdio; claude mc...

Output

claude CLI not on PATH

Agent

▸ PowerShell {"command":"Get-ChildItem \"$env:USERPROFILE\\.vscode\\extensions\" -Director...

Input

{"command":"Get-ChildItem \"$env:USERPROFILE\\.vscode\\extensions\" -Directory -Filter \"anthropic.claude-code*\" -ErrorAction SilentlyContinue | ForEach-Object { Get-ChildItem $_.FullName -Recurse -I...

Output

Exit code 1
~\.vscode\extensions\anthropic.claude-code-2.1.263-win32-x64\resources\native-binary\claude.exe
~\.vscode\extensions\anthropic.claude-code-2.1.296-win32-x64\resources\native-binary\claude.exe
~\.vscode\extensions\anthropic.claude-code-2.1.301-win32-x64\resources\native-binary\claude.exe
~\.local\bin\claude.exe

Agent

▸ PowerShell {"command":"$cl = \"~\\.local\\bin\\claude.exe\"; & $cl mcp add --scope user ...

Input

{"command":"$cl = \"~\\.local\\bin\\claude.exe\"; & $cl mcp add --scope user devrelay-gateway -- \"~\\.devrelay\\bin\\dev_mlh_mcp_server.exe\" --stdio; & $cl mcp get devrelay-gateway","description":"R...

Output

Added stdio MCP server devrelay-gateway with command: ~\.devrelay\bin\dev_mlh_mcp_server.exe --stdio to user config
File modified: ~\.claude.json
devrelay-gateway:
  Scope: User config (available in all your projects)
  Status: √ Connected
  Type: stdio
  Command: ~\.devrelay\bin\dev_mlh_mcp_server.exe
  Args: --stdio
  Environment:

To remove this server, run: claude mcp remove devrelay-gateway -s user

Agent

▸ PowerShell {"command":"& \"~\\.devrelay\\bin\\dev_mlh_mcp_server.exe\" --doctor; Get-Sch...

Input

{"command":"& \"~\\.devrelay\\bin\\dev_mlh_mcp_server.exe\" --doctor; Get-ScheduledTask -TaskName DevRelayUpdate -ErrorAction SilentlyContinue | Select-Object TaskName,State","description":"Re-run Dev...

Output

devrelay 0.1.27
  binary       ~\.devrelay\bin\dev_mlh_mcp_server.exe
  platform     windows-x86_64
  DEV account  not connected. Run `devrelay login`
  MLH account  disconnected — run `devrelay login`
  MLH token    not set — MLH tools need an explicit access_token argument
  telemetry    basic
  skills
    ✓ 56 installed in ~\.claude\skills
    ✓ 70 installed in ~\.agents\skills
    ✓ 9 installed in ~\.copilot\skills
    ✓ 9 installed in ~\.cursor\skills
  auto-update
    ✓ scheduled (Task Scheduler: DevRelayUpdate)
    ✗ no update check has ever completed
      run `devrelay --check-update`
  clients
    ✓ Claude Code
    ✓ Cursor
    ✓ Antigravity
    ✓ Gemini CLI
    ✓ GitHub Copilot CLI
    ✓ VS Code (GitHub Copilot)

3 issue(s) found.

TaskName       State
--------       -----
DevRelayUpdate Ready

Agent

DevRelay 0.1.27 is installed, and the MCP server and skills are registered. Before running the installer I read it; it does what its own description says.

MCP server (devrelay-gateway)
- Claude Code: the installer couldn't parse your ~/.claude.json, so it left that file alone and skipped Claude Code. I registered the server myself with claude mcp add --scope user, and claude mcp get shows it as Connected.
- Registered by the installer: Cursor, Antigravity, Gemini CLI, GitHub Copilot CLI and VS Code (Copilot). It backed up each config to *.devrelay.bak first.
- OpenCode is not registered. Your config is opencode.jsonc, which allows comments, and the installer won't edit that type of file. If you use OpenCode, add the entry by hand or install the opencode CLI and run the installer again.

Skills: 9 DevRelay skills were added to ~/.claude/skills, ~/.agents/skills, ~/.copilot/skills and ~/.cursor/skills. They're already available in this session (devrelay-navigator, devrelay-knowledge and the rest).

Other things the installer changed:
- It added ~\.devrelay\bin to your user PATH, so open a new terminal to use the devrelay command.
- It set up a daily 4am auto-update task called DevRelayUpdate. The first attempt failed on Windows PowerShell 5.1, but devrelay --doctor repaired it and the task is now Ready.
- Basic telemetry is on. You can turn it off with devrelay telemetry off.

devrelay --doctor still reports 3 issues, and you need to do these yourself:
1. Run devrelay login to connect your MLH or DEV account. It opens a browser, so I couldn't do it from this shell, and the MLH and DEV tools won't work until you do.
2. Optionally, run devrelay --check-update to clear the "no update check yet" warning.
3. Restart Claude Code, Cursor and VS Code so they load the new MCP server.

Show more

You

<pasted_content id="2783">
~\hacks\calavera-ai>devrelay login
'devrelay' is not recognized as an internal or external command,
operable program or batch file.

~\hacks\calavera-ai>cd ../..

~>devrelay login
'devrelay' is not recognized as an internal or external command,
operable program or batch file.

~>
</pasted_content id="2783">

Agent

▸ PowerShell {"command":"[Environment]::GetEnvironmentVariable(\"PATH\",\"User\") -split '...

Input

{"command":"[Environment]::GetEnvironmentVariable(\"PATH\",\"User\") -split ';' | Select-String devrelay; Test-Path ~\\.devrelay\\bin\\devrelay.cmd","description":"Check user PATH entry and devrelay.c...

Output

~\.devrelay\bin
True

Agent

The install is fine. The PATH entry is saved and devrelay.cmd is there. Your terminal just has the PATH from before the install, because Windows only gives the new PATH to programs started after the change. That's also true of new terminal tabs inside VS Code, which copy VS Code's own PATH.

To sign in now, use the full path:

~\.devrelay\bin\devrelay.cmd login

Fully quit and reopen VS Code, or open a fresh Command Prompt from the Start menu, and plain devrelay will work. You need to restart VS Code anyway so the MCP server gets loaded.

15 of 15 messages

Claude Code Session claude-opus-5-5

You

can you make the download continue at the background even when the device is minimized?

Agent

Yes, this is doable, and it needs native work on Android. Here's why and how I'll approach it.

Today the download runs inside the app's own process. When the app is minimized, Android soon freezes it, so the download stalls and resumes only when the app is reopened. The resume-after-kill fix preserves progress, but nothing downloads while the app is closed.

There are two standard ways to keep a download running. I'll check what this Expo SDK version already offers before choosing.

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules/expo-file-system; grep -n '"version"' pac...

Input

$ cd ~/hacks/calavera-ai/node_modules/expo-file-system; grep -n '"version"' package.json; grep -rn "sessionType\|NetworkTaskSessionType\|BACKGROUND" src/*.ts | head -12; echo ---; grep -rln "sessionType\|DownloadManager\|ForegroundService\|startForeground" android/src/main/java | head

Output

3:  "version": "58.0.13",
src/NetworkTasks.ts:142:        sessionType: this._options?.sessionType,
src/NetworkTasks.ts:268:      this._options?.sessionType === 'foreground'
src/NetworkTasks.ts:296:        sessionType: this._options?.sessionType,
src/NetworkTasks.ts:353:        sessionType: this._options?.sessionType,
src/NetworkTasks.types.ts:92:export type NetworkTaskSessionType = 'background' | 'foreground';
src/NetworkTasks.types.ts:144:  sessionType?: NetworkTaskSessionType;
src/NetworkTasks.types.ts:185:  sessionType?: NetworkTaskSessionType;
src/index.ts:39:  type NetworkTaskSessionType,
---
android/src/main/java/expo/modules/filesystem/legacy/FileSystemRecords.kt

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules/expo-file-system; sed -n 85,100p src/Netw...

Input

$ cd ~/hacks/calavera-ai/node_modules/expo-file-system; sed -n 85,100p src/NetworkTasks.types.ts; sed -n 138,150p src/NetworkTasks.types.ts; sed -n 262,272p src/NetworkTasks.ts; grep -n "sessionType" -B2 -A6 android/src/main/java/expo/modules/filesystem/legacy/FileSystemRecords.kt | head -20

Output

   */
  headers: Record<string, string>;
};

/**
 * The native URL session mode used by iOS upload and download tasks.
 */
export type NetworkTaskSessionType = 'background' | 'foreground';

/**
 * Options for upload operations.
 */
export type UploadOptions = {
  /**
   * The HTTP method to use.
   * @default 'POST'
   * callbacks, and cancellation state are only available while the original JS
   * runtime is still alive.
   *
   * @platform ios
   * @default 'background'
   */
  sessionType?: NetworkTaskSessionType;
  /**
   * An `AbortSignal` that can be used to cancel the upload.
   * When the signal is aborted, the upload is cancelled and the promise rejects with an `AbortError`.
   */
  signal?: AbortSignal;
};
   * @platform ios
   */
  async acknowledgeBackgroundCompletionAsync(): Promise<void> {
    if (
      Platform.OS !== 'ios' ||
      !this._options?.deferBackgroundSessionCompletion ||
      this._options?.sessionType === 'foreground'
    ) {
      return;
    }
    if (this._state !== 'completed') {
66-  val headers: Map<String, String>?,
67-  @Field
68:  val sessionType: SessionType = SessionType.BACKGROUND
69-) : Record
70-
71-@OptimizedRecord
72-data class WritingOptions(
73-  @Field
74-  val encoding: EncodingType = EncodingType.UTF8,
--
84-  val httpMethod: HttpMethod = HttpMethod.POST,
85-  @Field
86:  val sessionType: SessionType = SessionType.BACKGROUND,
87-  @Field
88-  val uploadType: FileSystemUploadType,
89-  @Field
90-  val fieldName: String?,
91-  @Field
92-  val mimeType: String?,

Agent

▸ ToolSearch {"query":"select:WebFetch","max_results":1}

Input

{
  "query": "select:WebFetch",
  "max_results": 1
}

Output

Agent

▸ WebFetch {"url":"https://docs.expo.dev/llms.txt","prompt":"List every entry related to...

Input

{"url":"https://docs.expo.dev/llms.txt","prompt":"List every entry related to background work on Android: background downloads, background tasks, foreground services, WorkManager, long-running transfe...

Output

**Background work on Android (from the index)**

- **BackgroundTask** (expo-background-task): https://docs.expo.dev/versions/latest/sdk/background-task.md. The index gives only the title, so check this page for what it covers.
- **TaskManager** (expo-task-manager): https://docs.expo.dev/versions/latest/sdk/task-manager.md. The index gives only the title. It is the related API for defining background tasks.
- **BackgroundFetch** (expo-background-fetch): https://docs.expo.dev/versions/latest/sdk/background-fetch.md. The index gives only the title. It is the related API for periodic background fetching.
- **FileSystem** (expo-file-system): https://docs.expo.dev/versions/latest/sdk/filesystem.md. The index gives only the title, so it doesn't confirm download-task support. Check this page for download APIs.
- **FileSystem (legacy)**: https://docs.expo.dev/versions/latest/sdk/filesystem-legacy.md. The index gives only the title.

**Not found in the index:** No entries explicitly cover background downloads, foreground services, WorkManager, or long-running transfers. Those topics would need to be checked against the linked pages or other sources.

**Adjacent Android lifecycle entries:**
- Android lifecycle listeners (Expo Modules API): https://docs.expo.dev/modules/android-lifecycle-listeners.md. Covers hooking into Android lifecycle events from a module.
- Configuring lifecycle listeners (brownfield): https://docs.expo.dev/brownfield/lifecycle-listeners.md. Covers lifecycle listeners for integrating Expo into native apps.

**Guidance on writing local Expo native modules (Kotlin)**
- Expo Modules API overview: https://docs.expo.dev/modules/overview.md
- Get started: https://docs.expo.dev/modules/get-started.md
- Tutorial: Create a native module: https://docs.expo.dev/modules/native-module-tutorial.md
- Tutorial: Create an inline module: https://docs.expo.dev/modules/inline-modules-tutorial.md
- Tutorial: Create a native view: https://docs.expo.dev/modules/native-view-tutorial.md
- Tutorial: Generate module TS interface: https://docs.expo.dev/modules/type-generation-tutorial.md
- Tutorial: Create a module with a config plugin: https://docs.expo.dev/modules/config-plugin-and-native-module-tutorial.md
- Module API reference: https://docs.expo.dev/modules/module-api.md
- Inline modules reference: https://docs.expo.dev/modules/inline-modules-reference.md
- expo-module.config.json: https://docs.expo.dev/modules/module-config.md
- Autolinking: https://docs.expo.dev/modules/autolinking.md
- Additional platform support: https://docs.expo.dev/modules/additional-platform-support.md
- Add custom native code: https://docs.expo.dev/workflow/customizing.md

Agent

▸ WebFetch {"url":"https://docs.expo.dev/modules/get-started.md","prompt":"How do I crea...

Input

{"url":"https://docs.expo.dev/modules/get-started.md","prompt":"How do I create a LOCAL Expo module inside an existing app (create-expo-module --local)? Give: the exact command, the resulting director...

Output

The page covers the command, directory layout, prebuild, JS import, and rebuild steps. It does not include the `expo-module.config.json` contents, the Kotlin class declaration, or `requireNativeModule`, so I can't answer those from this content.

**Command** (npm shown; the page also lists yarn, pnpm, and bun variants):
```sh
npx create-expo-module@latest --local
```
Run it from the directory that contains **package.json**. You can enter a module name at the prompt and accept the defaults for the rest.

**Resulting layout:**
```
modules
  my-module
    android
    ios
    src
    expo-module.config.json
    index.ts
```

**Prebuild:** If the project has no **android** and **ios** directories, run `npx expo prebuild --clean`. If an **ios** directory already exists from an earlier prebuild, run `npx pod-install` instead.

**Kotlin:** The page gives the file path `modules/my-module/android/src/main/java/expo/modules/mymodule/MyModule.kt` and says to change the `hello` function's return string. It does not show the class declaration or the `Module()`, `ModuleDefinition`, `Name`, `Function`, `AsyncFunction`, or `Events` usage. The page links to the [Expo Modules API Reference](https://docs.expo.dev/modules/module-api.md) for building modules in Swift and Kotlin.

**JS import:** The page imports the module like this:
```tsx
import MyModule from '@/modules/my-module';
```
and calls it as `MyModule.hello()`. It does not mention `requireNativeModule`. The page also notes that absolute import paths can be enabled with configuration changes.

**Rebuild:** Start `npx expo start` so JS changes show up. Native changes require a rebuild: "You have to repeat the build step anytime you make a change to the native code." Build from Android Studio with **Run 'app'** or from Xcode with **Run**. Run `npx pod-install` after adding native files or modifying **expo-module.config.json**.

Agent

▸ WebFetch {"url":"https://docs.expo.dev/modules/module-api.md","prompt":"From the Kotli...

Input

{"url":"https://docs.expo.dev/modules/module-api.md","prompt":"From the Kotlin side of the Expo Modules API: exact syntax for Name, Function, AsyncFunction (with suspend/Coroutine variant), Events + s...

Output

**Kotlin snippets from the page**

- **Name:** `Name("MyFirstExpoModule")`. The docs recommend setting it explicitly.
- **Function:** Takes up to 8 arguments.
  ```kotlin
  Function("hello") { name: String ->
    return "Hello $name!"
  }
  ```
- **AsyncFunction:** Returns a Promise to JavaScript.
  ```kotlin
  AsyncFunction("myAsyncFunction") { message: String ->
    return@AsyncFunction message
  }
  ```
  To resolve manually, add a `promise: Promise` argument. Import `Promise` from `expo.modules.kotlin`, not `expo.modules.core`.
- **AsyncFunction with a coroutine:** Use infix `Coroutine` syntax. A suspend body can't take a `Promise` argument.
  ```kotlin
  AsyncFunction("suspendFunction") Coroutine { message: String ->
    delay(5000)
    return@Coroutine message
  }
  ```
  These functions run on the module's coroutine scope and are canceled when the module is deallocated.
- **Events and sendEvent:** Declare names with `Events(...)`, then call `sendEvent(eventName, payload)` on the module. On Android, the payload is `Map<String, Any?>` or `Bundle`. The docs' clipboard example uses `bundleOf(...)`.
- **OnCreate / OnDestroy:** The page describes these as the replacements for the class initializer and destructor, but it gives no Kotlin snippet for either. I can't confirm their exact syntax from this page.
- **Android Context:** The page shows `appContext.reactContext?.getSystemService(Context.CLIPBOARD_SERVICE) as? ClipboardManager`. `reactContext` is typed `Context?`. The page doesn't mention `reactContext?.applicationContext`.
- **CodedException:** The page doesn't cover exception throwing or `CodedException`, so I have no source-based syntax for it.

**Argument and return types (Kotlin)**

- **Primitives:** `Boolean`, `Int`, `Long`, `Float`, `Double`, `String`, `Pair`, plus arrays and optionals of these.
- **Primitive arrays:** `ByteArray` maps to `Uint8Array`. `BooleanArray` maps to `boolean[]`. `IntArray`, `FloatArray`, `LongArray`, and `DoubleArray` map to `number[]`. The page says primitive arrays should be preferred on Android.
- **Pair:** `kotlin.Pair<A, B>` maps to a two-element array.
- **Duration:** `kotlin.time.Duration` maps to a number of seconds (SDK 52+).
- **Records:** Classes implementing `Record` with `@Field` properties.
- **Map and List:** The page doesn't list `Map` or `List` as Kotlin argument types. `Map` appears only as the event payload type.

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules; grep -rn "getExternalFilesDir\|externalF...

Input

$ cd ~/hacks/calavera-ai/node_modules; grep -rn "getExternalFilesDir\|externalFilesDir\|isPathPermitted\|checkPermission\|FilePermission" expo-file-system/android/src/main/java/expo/modules/filesystem/*.kt 2>/dev/null | head -12; ls expo-file-system/android/src/main/java/expo/modules/filesystem/ | head -30; echo ---; grep -rn "nativeModulesDir\|'modules'\|\"modules\"" expo-modules-autolinking/build/*.js expo-modules-autolinking/build/**/*.js 2>/dev/null | head -8

Output

expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDirectory.kt:4:import expo.modules.kotlin.services.FilePermissionService
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDirectory.kt:19:    return if (checkPermission(FilePermissionService.Permission.READ)) {
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDirectory.kt:27:    validatePermission(FilePermissionService.Permission.READ)
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDirectory.kt:34:    validatePermission(FilePermissionService.Permission.READ)
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDirectory.kt:59:    validatePermission(FilePermissionService.Permission.WRITE)
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDirectory.kt:79:    validatePermission(FilePermissionService.Permission.WRITE)
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDirectory.kt:88:    validatePermission(FilePermissionService.Permission.WRITE)
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDirectory.kt:110:    validatePermission(FilePermissionService.Permission.READ)
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDownload.kt:4:import expo.modules.kotlin.services.FilePermissionService
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDownload.kt:65:  to.validatePermission(FilePermissionService.Permission.WRITE)
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDownloadTask.kt:11:import expo.modules.kotlin.services.FilePermissionService
expo-file-system/android/src/main/java/expo/modules/filesystem/FileSystemDownloadTask.kt:326:  to.validatePermission(FilePermissionService.Permission.WRITE)
FilePickerContract.kt
FileSystemDirectory.kt
FileSystemDownload.kt
FileSystemDownloadTask.kt
FileSystemExceptions.kt
FileSystemFile.kt
FileSystemFileHandle.kt
FileSystemFileProvider.kt
FileSystemModule.kt
FileSystemNextRecords.kt
FileSystemPath.kt
FileSystemUploadTask.kt
FileSystemWatcher.kt
PickFileOptions.kt
fsops
legacy
unifiedfile
---
expo-modules-autolinking/build/autolinking/findModules.js:57:    const searchPaths = autolinkingOptions.nativeModulesDir ? [
expo-modules-autolinking/build/autolinking/findModules.js:58:        autolinkingOptions.nativeModulesDir,
expo-modules-autolinking/build/commands/autolinkingOptions.js:105:    // nativeModulesDir
expo-modules-autolinking/build/commands/autolinkingOptions.js:106:    if (typeof mergedOptions.nativeModulesDir === 'string') {
expo-modules-autolinking/build/commands/autolinkingOptions.js:107:        outputOptions.nativeModulesDir = resolvePathMaybe(mergedOptions.nativeModulesDir, appRoot);
expo-modules-autolinking/build/commands/autolinkingOptions.js:201:        nativeModulesDir: options.nativeModulesDir ? resolvePathMaybe(options.nativeModulesDir, appRoot) ?? null : resolvePathMaybe('./modules', appRoot) ?? null,
expo-modules-autolinking/build/dependencies/CachedDependenciesLinker.js:175:        searchPaths: options.nativeModulesDir && _fs().default.existsSync(options.nativeModulesDir) ? [
expo-modules-autolinking/build/dependencies/CachedDependenciesLinker.js:176:            options.nativeModulesDir,

Agent

Local modules in ./modules are autolinked by default, so no config is needed. Next, which folders Expo's file permission service allows:

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules; f=$(grep -rl "class FilePermissionServic...

Input

$ cd ~/hacks/calavera-ai/node_modules; f=$(grep -rl "class FilePermissionService" expo-modules-core/android/src/main/java | head -1); echo $f; grep -n "fun getInternalPathPermissions\|getExternalPathPermissions\|filesDir\|cacheDir\|externalFilesDir\|getExternalFilesDir\|canonical\|startsWith\|private fun\|fun get" $f | head -30

Output

expo-modules-core/android/src/main/java/expo/modules/kotlin/services/FilePermissionService.kt
15:  open fun getPathPermissions(context: Context, path: String): EnumSet<Permission> =
16:    getInternalPathPermissions(path, context) ?: getExternalPathPermissions(path)
18:  private fun getInternalPathPermissions(path: String, context: Context): EnumSet<Permission>? {
20:      val canonicalPath = File(path).canonicalPath
22:        .firstOrNull { dir -> canonicalPath.startsWith("$dir/") || dir == canonicalPath }
29:  protected open fun getExternalPathPermissions(path: String): EnumSet<Permission> {
42:  private fun getInternalPaths(context: Context): List<String> =
44:      context.filesDir.canonicalPath,
45:      context.cacheDir.canonicalPath

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules; sed -n 15,50p expo-modules-core/android/...

Input

$ cd ~/hacks/calavera-ai/node_modules; sed -n 15,50p expo-modules-core/android/src/main/java/expo/modules/kotlin/services/FilePermissionService.kt

Output

  open fun getPathPermissions(context: Context, path: String): EnumSet<Permission> =
    getInternalPathPermissions(path, context) ?: getExternalPathPermissions(path)

  private fun getInternalPathPermissions(path: String, context: Context): EnumSet<Permission>? {
    return try {
      val canonicalPath = File(path).canonicalPath
      getInternalPaths(context)
        .firstOrNull { dir -> canonicalPath.startsWith("$dir/") || dir == canonicalPath }
        ?.let { EnumSet.of(Permission.READ, Permission.WRITE) }
    } catch (_: IOException) {
      EnumSet.noneOf(Permission::class.java)
    }
  }

  protected open fun getExternalPathPermissions(path: String): EnumSet<Permission> {
    val file = File(path)
    return EnumSet.noneOf(Permission::class.java).apply {
      if (file.canRead()) {
        add(Permission.READ)
      }
      if (file.canWrite()) {
        add(Permission.WRITE)
      }
    }
  }

  @Throws(IOException::class)
  private fun getInternalPaths(context: Context): List<String> =
    listOf(
      context.filesDir.canonicalPath,
      context.cacheDir.canonicalPath
    )
}

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules/expo-file-system/android/src/main/java/ex...

Input

$ cd ~/hacks/calavera-ai/node_modules/expo-file-system/android/src/main/java/expo/modules/filesystem; grep -n "val exists\|fun exists\|fun move\|fun delete\|fun validatePermission\|fun checkPermission\|val size\|fun digest\|Permission\.\(READ\|WRITE\)" FileSystemPath.kt FileSystemFile.kt | head -30

Output

FileSystemPath.kt:88:  fun delete() {
FileSystemPath.kt:89:    validatePermission(FilePermissionService.Permission.WRITE)
FileSystemPath.kt:134:  fun validatePermission(permission: FilePermissionService.Permission) {
FileSystemPath.kt:140:  fun checkPermission(permission: FilePermissionService.Permission): Boolean {
FileSystemPath.kt:213:  private fun checkPermissionForPath(path: String, permission: FilePermissionService.Permission): Boolean {
FileSystemPath.kt:229:    validatePermission(FilePermissionService.Permission.READ)
FileSystemPath.kt:230:    to.validatePermission(FilePermissionService.Permission.WRITE)
FileSystemPath.kt:237:  suspend fun move(to: FileSystemPath, options: RelocationOptions) {
FileSystemPath.kt:240:    validatePermission(FilePermissionService.Permission.WRITE)
FileSystemPath.kt:241:    to.validatePermission(FilePermissionService.Permission.WRITE)
FileSystemPath.kt:254:    validatePermission(FilePermissionService.Permission.WRITE)
FileSystemFile.kt:15:  FileMode.READ -> listOf(FilePermissionService.Permission.READ)
FileSystemFile.kt:16:  FileMode.WRITE, FileMode.APPEND, FileMode.TRUNCATE -> listOf(FilePermissionService.Permission.WRITE)
FileSystemFile.kt:17:  FileMode.READ_WRITE -> listOf(FilePermissionService.Permission.READ, FilePermissionService.Permission.WRITE)
FileSystemFile.kt:31:    validatePermission(FilePermissionService.Permission.READ)
FileSystemFile.kt:37:  val exists: Boolean get() {
FileSystemFile.kt:38:    return if (checkPermission(FilePermissionService.Permission.READ)) {
FileSystemFile.kt:50:    validatePermission(FilePermissionService.Permission.WRITE)
FileSystemFile.kt:97:    validatePermission(FilePermissionService.Permission.WRITE)
FileSystemFile.kt:108:    validatePermission(FilePermissionService.Permission.WRITE)
FileSystemFile.kt:127:    validatePermission(FilePermissionService.Permission.WRITE)
FileSystemFile.kt:153:    validatePermission(FilePermissionService.Permission.READ)
FileSystemFile.kt:161:    validatePermission(FilePermissionService.Permission.READ)
FileSystemFile.kt:169:    validatePermission(FilePermissionService.Permission.READ)
FileSystemFile.kt:177:    validatePermission(FilePermissionService.Permission.READ)
FileSystemFile.kt:186:  fun digest(algorithm: String): String {
FileSystemFile.kt:190:    validatePermission(FilePermissionService.Permission.READ)
FileSystemFile.kt:209:  val size: Long? get() {
FileSystemFile.kt:223:    validatePermission(FilePermissionService.Permission.READ)

Agent

▸ Bash cd ~/hacks/calavera-ai; cat src/features/models/paths.ts; echo ======; sed -n...

Input

$ cd ~/hacks/calavera-ai; cat src/features/models/paths.ts; echo ======; sed -n 1,40p src/features/models/downloadController.ts; echo ======; cat src/features/models/downloadStore.ts; echo ======; cat src/features/models/settingsStore.ts

Output

import { Directory, File, Paths } from 'expo-file-system';

import type { ModelFile } from './registry';

/** Weights live in the documents directory: the OS never evicts it like the cache. */
const modelsDirectory = () => new Directory(Paths.document, 'models');

export function ensureModelsDirectory(): Directory {
  const directory = modelsDirectory();
  if (!directory.exists) directory.create({ intermediates: true, idempotent: true });
  return directory;
}

export function modelFileHandle(file: ModelFile): File {
  return new File(modelsDirectory(), file.fileName);
}

export function partialFileHandle(file: ModelFile): File {
  return new File(modelsDirectory(), `${file.fileName}.part`);
}

/** llama.rn accepts `file://` URIs directly. */
export function modelPath(file: ModelFile): string {
  return modelFileHandle(file).uri;
}
======
import { Paths } from 'expo-file-system';
import { activateKeepAwakeAsync, deactivateKeepAwake } from 'expo-keep-awake';

import { createThrottle } from '@/shared/lib/batcher';
import { toErrorMessage, UserFacingError } from '@/shared/lib/errors';
import { formatBytes } from '@/shared/lib/format';
import { createRateMeter } from '@/shared/lib/rate';

import { downloadActions } from './downloadStore';
import { startFileDownload, verifyAndInstall, type FileDownload } from './downloader';
import { refreshModelQueries } from './packLifecycle';
import type { ModelFile, ModelPackId } from './registry';
import { useModelSettings } from './settingsStore';
import { readPackStatus } from './status';

/**
 * Module-level download orchestrator. It lives outside React so a 3 GB
 * transfer survives navigation and re-renders; components only observe
 * `useDownloadStore`.
 */

const KEEP_AWAKE_TAG = 'calavera-model-download';
const DISK_HEADROOM_BYTES = 300 * 1024 * 1024;
const PROGRESS_INTERVAL_MS = 250;

let running = false;
let stopRequested = false;
let active: { download: FileDownload; file: ModelFile } | null = null;

async function downloadOne(file: ModelFile): Promise<boolean> {
  const settings = useModelSettings.getState();
  const resumeState = settings.pausedDownloads[file.id];
  const rate = createRateMeter();
  const progress = createThrottle(
    (bytes: number) => downloadActions.setProgress(file.id, bytes, rate(bytes)),
    PROGRESS_INTERVAL_MS,
  );

  downloadActions.setCurrentFile(file.id);
  const download = startFileDownload(file, { onProgress: progress.push, resumeState });
======
import { create } from 'zustand';

import type { ModelFileId } from './registry';

export type DownloadPhase = 'idle' | 'downloading' | 'verifying' | 'paused' | 'error' | 'done';

interface DownloadState {
  phase: DownloadPhase;
  currentFileId: ModelFileId | null;
  /** Bytes on disk per file during this session. */
  bytesByFile: Partial<Record<ModelFileId, number>>;
  bytesPerSecond: number;
  error: string | null;
}

/** Transient, in-memory progress of the model download (never persisted). */
export const useDownloadStore = create<DownloadState>()(() => ({
  phase: 'idle',
  currentFileId: null,
  bytesByFile: {},
  bytesPerSecond: 0,
  error: null,
}));

export const downloadActions = {
  setPhase(phase: DownloadPhase, error: string | null = null) {
    useDownloadStore.setState({ phase, error });
  },
  setCurrentFile(fileId: ModelFileId | null) {
    useDownloadStore.setState({ currentFileId: fileId });
  },
  setProgress(fileId: ModelFileId, bytes: number, bytesPerSecond: number) {
    useDownloadStore.setState((state) => ({
      bytesByFile: { ...state.bytesByFile, [fileId]: bytes },
      bytesPerSecond,
    }));
  },
  reset() {
    useDownloadStore.setState({ phase: 'idle', currentFileId: null, bytesByFile: {}, bytesPerSecond: 0, error: null });
  },
};
======
import type { DownloadPauseState } from 'expo-file-system';
import Storage from 'expo-sqlite/kv-store';
import { create } from 'zustand';
import { createJSONStorage, persist } from 'zustand/middleware';

import type { ModelFileId, ModelPackId } from './registry';

interface ModelSettingsState {
  /** `null` until the user picks a pack on first launch. */
  selectedPackId: ModelPackId | null;
  /** Resume tokens for downloads paused in a previous session. */
  pausedDownloads: Partial<Record<ModelFileId, DownloadPauseState>>;
  selectPack: (packId: ModelPackId) => void;
  savePausedDownload: (fileId: ModelFileId, state: DownloadPauseState) => void;
  clearPausedDownload: (fileId: ModelFileId) => void;
}

/**
 * Persisted through expo-sqlite's synchronous key-value store, so the saved
 * pack is available on the very first render (no hydration flash).
 */
const syncStorage = createJSONStorage(() => ({
  getItem: (key: string) => Storage.getItemSync(key),
  setItem: (key: string, value: string) => Storage.setItemSync(key, value),
  removeItem: (key: string) => {
    Storage.removeItemSync(key);
  },
}));

export const useModelSettings = create<ModelSettingsState>()(
  persist(
    (set) => ({
      selectedPackId: null,
      pausedDownloads: {},
      selectPack: (packId) => set({ selectedPackId: packId }),
      savePausedDownload: (fileId, state) =>
        set((current) => ({ pausedDownloads: { ...current.pausedDownloads, [fileId]: state } })),
      clearPausedDownload: (fileId) =>
        set((current) => {
          const { [fileId]: _removed, ...rest } = current.pausedDownloads;
          return { pausedDownloads: rest };
        }),
    }),
    {
      name: 'calavera-model-settings',
      storage: syncStorage,
      partialize: ({ selectedPackId, pausedDownloads }) => ({ selectedPackId, pausedDownloads }),
    },
  ),
);

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules/expo-keep-awake; cat expo-module.config.j...

Input

$ cd ~/hacks/calavera-ai/node_modules/expo-keep-awake; cat expo-module.config.json; echo; cat android/build.gradle; echo; cat android/src/main/AndroidManifest.xml 2>/dev/null; ls android/src/main/java/expo/modules/keepawake/; sed -n 1,30p android/src/main/java/expo/modules/keepawake/KeepAwakeModule.kt

Output

{
  "platforms": ["apple", "android"],
  "apple": {
    "modules": ["KeepAwakeModule"]
  },
  "android": {
    "modules": ["expo.modules.keepawake.KeepAwakeModule"],
    "publication": {
      "groupId": "host.exp.exponent",
      "artifactId": "expo.modules.keepawake",
      "repository": "local-maven-repo"
    }
  }
}

plugins {
  id 'com.android.library'
  id 'expo-module-gradle-plugin'
}

group = 'host.exp.exponent'
version = '58.0.3'

android {
  namespace "expo.modules.keepawake"
  defaultConfig {
    versionCode 16
    versionName "58.0.3"
  }
}

<manifest>

</manifest>
ExpoKeepAwakeManager.kt
KeepAwakeExceptions.kt
KeepAwakeModule.kt
// Copyright 2015-present 650 Industries. All rights reserved.
package expo.modules.keepawake

import expo.modules.kotlin.modules.Module
import expo.modules.kotlin.modules.ModuleDefinition

class KeepAwakeModule : Module() {
  private val keepAwakeManager by lazy { ExpoKeepAwakeManager(appContext) }

  override fun definition() = ModuleDefinition {
    Name("ExpoKeepAwake")

    AsyncFunction("activate") { tag: String ->
      keepAwakeManager.activate(tag)
    }

    AsyncFunction("deactivate") { tag: String ->
      keepAwakeManager.deactivate(tag)
    }

    AsyncFunction<Boolean>("isActivated") {
      keepAwakeManager.isActivated
    }
  }
}

15 messages (range 1048-1062) of 1868 total

Claude Code Session claude-opus-5-5

Agent

Search results barely change with the question. The candle note comes first for both "music" and "bad cook", which suggests a ranking bug. I'll take a quick look at the search code before going on.

Agent

▸ Bash grep -rln "vec0\|vec_distance\|MATCH" src | head; grep -rn "match\b\|% match\...

Input

$ grep -rln "vec0\|vec_distance\|MATCH" src | head; grep -rn "match\b\|% match\|distance" src/features/memories/*.ts | head -20

Output

src/db/database.ts
src/db/migrations.ts
src/features/memories/repo.ts
src/features/memories/chunker.ts:16:  return (normalized.match(SENTENCE_PATTERN) ?? []).map((s) => s.trim()).filter(Boolean);
src/features/memories/repo.ts:21:  distance: number;
src/features/memories/repo.ts:110:      SELECT chunk_id, distance
src/features/memories/repo.ts:114:    SELECT knn.chunk_id, knn.distance, c.memory_id, c.profile_id, c.content, p.name AS profile_name
src/features/memories/repo.ts:118:    ORDER BY knn.distance
src/features/memories/repo.ts:129:    similarity: 1 - row.distance,

Agent

▸ Bash sed -n 95,135p src/features/memories/repo.ts; grep -n "vec0\|distance_metric\...

Input

$ sed -n 95,135p src/features/memories/repo.ts; grep -n "vec0\|distance_metric\|float\[" src/db/migrations.ts; grep -rn "embed" src/features/memories/service.ts | head; ls src/features/engine

Output

/**
 * K-nearest-neighbour search in sqlite-vec. With a profile id, the search is
 * restricted to that ancestor's partition.
 */
export async function searchMemories(
  vector: Float32Array,
  { profileId, limit }: { profileId: number | null; limit: number },
): Promise<MemoryMatch[]> {
  const db = await getDatabase();
  const partitionFilter = profileId === null ? '' : 'AND profile_id = ?';
  const params = profileId === null ? [toVectorBlob(vector), limit] : [toVectorBlob(vector), limit, profileId];

  const rows = await db.getAllAsync<MatchRow>(
    `
    WITH knn AS (
      SELECT chunk_id, distance
      FROM memory_vectors
      WHERE embedding MATCH ? AND k = ? ${partitionFilter}
    )
    SELECT knn.chunk_id, knn.distance, c.memory_id, c.profile_id, c.content, p.name AS profile_name
    FROM knn
    JOIN memory_chunks c ON c.id = knn.chunk_id
    JOIN profiles p ON p.id = c.profile_id
    ORDER BY knn.distance
    `,
    params,
  );

  return rows.map((row) => ({
    chunkId: row.chunk_id,
    memoryId: row.memory_id,
    profileId: row.profile_id,
    profileName: row.profile_name,
    content: row.content,
    similarity: 1 - row.distance,
  }));
}
42:      CREATE VIRTUAL TABLE memory_vectors USING vec0(
45:        embedding FLOAT[${EMBEDDING_DIMENSIONS}] distance_metric=cosine
90:    // Same connection on purpose: vec0 only exists where sqlite-vec was loaded (see withTransaction).
2:import { embedText, embedTexts } from '@/features/engine/embeddings';
18:/** Chunks and embeds a narrative on-device. Pure inference: nothing is written yet. */
26:  const vectors = await embedTexts(pack, chunks);
44:  const vector = await embedText(pack, query);
ModelLoadingNotice.tsx
config.ts
contextManager.ts
embeddings.ts
engineStore.ts
useEngineLifecycle.ts

Agent

▸ Read ~\hacks\calavera-ai\src\features\engine\embeddings.ts

Input

~\hacks\calavera-ai\src\features\engine\embeddings.ts

Output

1   import type { ModelPack } from '@/features/models/registry';
2   
3   import { withEmbedder } from './contextManager';
4   
5   /** MiniLM's window is 512 tokens; ~1,500 characters stays well inside it. */
6   const MAX_EMBED_CHARS = 1500;
7   /** llama.cpp's Euclidean (L2) normalisation, matching sqlite-vec cosine distance. */
8   const L2_NORMALIZE = 2;
9   
10  export function embedTexts(pack: ModelPack, texts: readonly string[]): Promise<Float32Array[]> {
11    return withEmbedder(pack, async (context) => {
12      const vectors: Float32Array[] = [];
13      for (const text of texts) {
14        const { embedding } = await context.embedding(text.slice(0, MAX_EMBED_CHARS), {
15          embd_normalize: L2_NORMALIZE,
16        });
17        vectors.push(Float32Array.from(embedding));
18      }
19      return vectors;
20    });
21  }
22  
23  export async function embedText(pack: ModelPack, text: string): Promise<Float32Array> {
24    const [vector] = await embedTexts(pack, [text]);
25    if (!vector) throw new Error('Embedding model returned no vector.');
26    return vector;
27  }
28  

Agent

▸ Bash grep -n "embedding\|pooling\|EMBED" src/features/engine/config.ts src/feature...

Input

$ grep -n "embedding\|pooling\|EMBED" src/features/engine/config.ts src/features/engine/contextManager.ts | head -20

Output

src/features/engine/config.ts:27:export const EMBEDDING_CONTEXT: RuntimeParams = {
src/features/engine/config.ts:32:  embedding: true,
src/features/engine/config.ts:33:  pooling_type: 'mean',
src/features/engine/contextManager.ts:10:import { EMBEDDING_CONTEXT, GENERATIVE_CONTEXT, IMAGE_MAX_TOKENS } from './config';
src/features/engine/contextManager.ts:109:/** Runs `task` with the sentence-embedding model loaded (kept resident: ~25 MB). */
src/features/engine/contextManager.ts:112:    const file = MODEL_FILES[pack.embedding];
src/features/engine/contextManager.ts:117:      const context = await initWithProgress(file, ROLE.memory, EMBEDDING_CONTEXT);

Agent

▸ Read ~\hacks\calavera-ai\src\features\engine\config.ts

Input

~\hacks\calavera-ai\src\features\engine\config.ts

Output

1   import type { ContextParams } from 'llama.rn';
2   
3   type RuntimeParams = Omit<ContextParams, 'model'>;
4   
5   /**
6    * CPU-only, memory-mapped inference tuned for mid/low-end ARM phones:
7    * - 4 threads targets the performance cluster of big.LITTLE SoCs,
8    * - mmap lets the OS page weights in and out instead of committing RAM,
9    * - a single sequence and a 2K window keep the KV cache small.
10   */
11  const SHARED: RuntimeParams = {
12    n_threads: 4,
13    n_gpu_layers: 0,
14    n_parallel: 1,
15    use_mmap: true,
16    use_mlock: false,
17  };
18  
19  /** Used for both writing and seeing, so one Gemma 4 context can serve both. */
20  export const GENERATIVE_CONTEXT: RuntimeParams = {
21    ...SHARED,
22    n_ctx: 2048,
23    n_batch: 256,
24    ctx_shift: false,
25  };
26  
27  export const EMBEDDING_CONTEXT: RuntimeParams = {
28    ...SHARED,
29    n_ctx: 512,
30    n_batch: 512,
31    n_ubatch: 512,
32    embedding: true,
33    pooling_type: 'mean',
34  };
35  
36  /** Caps vision tokens per image: faster prefill and less memory on small devices. */
37  export const IMAGE_MAX_TOKENS = 256;
38  
39  /** How long the app may sit in the background before large models are released. */
40  export const BACKGROUND_RELEASE_DELAY_MS = 30_000;
41  

Agent

Strong clue: the top hit for every question is the memory embedded most recently. That points to state left over between embedding calls. Checking whether llama.rn has a way to clear it:

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules/llama.rn && grep -n "clear\|embedding(" l...

Input

$ cd ~/hacks/calavera-ai/node_modules/llama.rn && grep -n "clear\|embedding(" lib/typescript/index.d.ts | head -20; grep -rn "embd_normalize\|EmbeddingParams" lib/typescript/NativeRNLlama.d.ts | head

Output

210:    embedding(text: string, params?: EmbeddingParams): Promise<NativeEmbeddingResult>;
257:     * @param clearData If true, clears both metadata and tensor data buffers (slower). If false, only clears metadata (faster).
258:     * @returns Promise that resolves when cache is cleared
261:     * Without clearing, the model may use cached context from previous conversations,
265:     * use recurrent state that cannot be partially removed - only fully cleared.
267:    clearCache(clearData?: boolean): Promise<void>;

Agent

▸ Bash sed -n 250,268p lib/typescript/index.d.ts; grep -rn "embedding" cpp/rn-llama....

Input

$ sed -n 250,268p lib/typescript/index.d.ts; grep -rn "embedding" cpp/rn-llama.cpp 2>/dev/null | head -20; ls cpp | grep -i rn- | head

Output

        grammar?: string;
    }>;
    getAudioCompletionGuideTokens(textToSpeak: string): Promise<Array<number>>;
    decodeAudioTokens(tokens: number[]): Promise<Array<number>>;
    releaseVocoder(): Promise<void>;
    /**
     * Clear the KV cache and reset conversation state
     * @param clearData If true, clears both metadata and tensor data buffers (slower). If false, only clears metadata (faster).
     * @returns Promise that resolves when cache is cleared
     *
     * Call this method between different conversations to prevent cache contamination.
     * Without clearing, the model may use cached context from previous conversations,
     * leading to incorrect or unexpected responses.
     *
     * For hybrid architecture models (e.g., LFM2), this is essential as they
     * use recurrent state that cannot be partially removed - only fully cleared.
     */
    clearCache(clearData?: boolean): Promise<void>;
    release(): Promise<void>;
rn-common.hpp
rn-completion.cpp
rn-completion.h
rn-llama.cpp
rn-llama.h
rn-mtmd.hpp
rn-slot-manager.cpp
rn-slot-manager.h
rn-slot.cpp
rn-slot.h

Agent

▸ Bash cd ~/hacks/calavera-ai/node_modules/llama.rn/cpp && grep -n "::embedding\|get...

Input

$ cd ~/hacks/calavera-ai/node_modules/llama.rn/cpp && grep -n "::embedding\|getEmbedding\|embedding(" rn-completion.cpp rn-llama.cpp | head; 

Output

rn-completion.cpp:381:    // embedding()/rerank() drive throwaway prompts through this same path; keep their
rn-completion.cpp:1218:std::vector<float> llama_rn_context_completion::embedding(common_params &embd_params)
rn-completion.cpp:1250:    std::vector<float> embedding(data, data + n_embd), out(data, data + n_embd);

Agent

▸ Bash sed -n 370,400p rn-completion.cpp; sed -n 1210,1260p rn-completion.cpp; grep ...

Input

$ sed -n 370,400p rn-completion.cpp; sed -n 1210,1260p rn-completion.cpp; grep -n "embedding" ../android/src/main/java/com/rnllama/LlamaContext.java ../android/src/main/jni.cpp 2>/dev/null | head

Output

        if (pos - last_accepted >= min_gap) {
            out.push_back(pos);
            last_accepted = pos;
        }
        run_has_delim = false;
    }
    return out;
}

void llama_rn_context_completion::loadPrompt(const std::vector<std::string> &media_paths, bool allow_state_cache) {
    bool has_media = !media_paths.empty();
    // embedding()/rerank() drive throwaway prompts through this same path; keep their
    // state out of the chat's checkpoint cache (see state_cache_capture_allowed).
    state_cache_capture_allowed = allow_state_cache;

    // Check if this is an encoder-decoder model (like T5)
    const bool is_enc_dec = llama_model_has_encoder(parent_ctx->model);
    const auto vocab = llama_model_get_vocab(parent_ctx->model);
    const bool add_bos = llama_vocab_get_add_bos(vocab);

    if (!has_media) {
        std::vector<llama_token> text_tokens;
        // Text-only path - use modified tokenization for encoder-decoder models
        text_tokens = ::common_tokenize(parent_ctx->ctx, parent_ctx->params.prompt, add_bos || is_enc_dec, true);
        num_prompt_tokens = text_tokens.size();

        // LOG tokens
        std::stringstream ss;
        ss << "\n" << __func__ << ": prompt_tokens = ";
        for (auto& token : text_tokens) {
            ss << token << " ";
    result.content = parsed_msg.content;
    result.reasoning_content = parsed_msg.reasoning_content;
    result.accumulated_text = prefill_text + generated_text;
    result.tool_calls = parsed_msg.tool_calls;

    return result;
}

std::vector<float> llama_rn_context_completion::embedding(common_params &embd_params)
{
    llama_memory_clear(llama_get_memory(parent_ctx->ctx), true);

    rewind();
    llama_perf_context_reset(parent_ctx->ctx);
    if (!initSampling()) {
        throw std::runtime_error("Failed to initialize sampling");
    }
    beginCompletion();
    loadPrompt({}, /*allow_state_cache*/ false);
    doCompletion();
    endCompletion();

    static const int n_embd = llama_model_n_embd(llama_get_model(parent_ctx->ctx));
    if (!embd_params.embedding)
    {
        LOG_WARNING("embedding disabled, embedding: %s", embd_params.embedding);
        return std::vector<float>(n_embd, 0.0f);
    }
    float *data;

    const enum llama_pooling_type pooling_type = llama_pooling_type(parent_ctx->ctx);
    if (pooling_type == LLAMA_POOLING_TYPE_NONE) {
        data = llama_get_embeddings(parent_ctx->ctx);
    } else {
        data = llama_get_embeddings_seq(parent_ctx->ctx, 0);
    }

    if (!data) {
        return std::vector<float>(n_embd, 0.0f);
    }
    std::vector<float> embedding(data, data + n_embd), out(data, data + n_embd);
    common_embd_normalize(embedding.data(), out.data(), n_embd, embd_params.embd_normalize);
    return out;
}

std::vector<float> llama_rn_context_completion::rerank(const std::string &query, const std::vector<std::string> &documents)
{
    std::vector<float> scores;

    // Check if this model supports reranking (requires rank pooling type)
    const enum llama_pooling_type pooling_type = llama_pooling_type(parent_ctx->ctx);

Agent

The native code clears the model's memory before each embedding, so the cause isn't obvious. One quick test will tell: searching with the exact words of a saved story should score close to 100%.

Agent

▸ Bash S="~/AppData/Local/Temp/claude/home-hacks-calavera-ai/d88a8bd2-32fe-4484-97da...

Input

$ S="~/AppData/Local/Temp/claude/home-hacks-calavera-ai/d88a8bd2-32fe-4484-97da-efdea11683e3/scratchpad"; ADB="$LOCALAPPDATA/Android/Sdk/platform-tools/adb.exe"
"$ADB" shell input tap 585 433; sleep 0.5; "$ADB" shell input keycombination 113 29; "$ADB" shell input keyevent 67; sleep 0.5
for w in He fixed every radio in the barrio; do "$ADB" shell input text "$w"; sleep 0.5; "$ADB" shell input keyevent 62; sleep 0.3; done
"$ADB" shell input keyevent 66; sleep 10; "$ADB" exec-out screencap -p > "$S/search3.png"

Output

(Bash completed with no output)

Agent

▸ Read ~\AppData\Local\Temp\claude\home-hacks-calavera-ai\d88a8bd2-32fe-4484-97da-ef...

Input

~\AppData\Local\Temp\claude\home-hacks-calavera-ai\d88a8bd2-32fe-4484-97da-efdea11683e3\scratchpad\search3.png

Output

[screenshot]

You

[Image: original 1170x2532, displayed at 924x2000. Multiply coordinates by 1.27 to map to original image.]

Agent

▸ Bash sed -n 400,470p rn-completion.cpp; grep -n "void llama_rn_context_completion:...

Input

$ sed -n 400,470p rn-completion.cpp; grep -n "void llama_rn_context_completion::rewind" -A25 rn-completion.cpp | head -40

Output

            ss << token << " ";
        }
        LOG_INFO("%s\n", ss.str().c_str());

        if (parent_ctx->params.n_keep < 0) {
            parent_ctx->params.n_keep = (int)num_prompt_tokens;
        }
        parent_ctx->params.n_keep = std::min(parent_ctx->n_ctx - 4, parent_ctx->params.n_keep);

        // Handle truncation if needed
        if (num_prompt_tokens >= (size_t)parent_ctx->n_ctx) {
            if (!parent_ctx->params.ctx_shift) {
                context_full = true;
                return;
            }
            truncatePrompt(text_tokens);
            num_prompt_tokens = text_tokens.size();
            LM_GGML_ASSERT(num_prompt_tokens < (size_t)parent_ctx->n_ctx);
        }

        // NOTE: Do NOT feed prompt tokens into the sampler.
        // The penalty sampler should only track generated tokens.
        // Feeding prompt tokens causes <|im_end|> (which appears
        // in every ChatML prompt) to be penalised by repeat_penalty
        // / frequency_penalty, preventing EOS and producing
        // extremely verbose output on Qwen-family models.

        // n_common = shared prefix with the live cache; it bounds how far a
        // checkpoint may be trusted.
        size_t n_common = is_enc_dec ? 0 : find_common_prefix_length(embd, text_tokens);
        // A mem-shared MTP draft leaves stale speculative cells in the target's
        // SHARED KV window that upstream never cleans (TAG_KV_CACHE_SHARE_CELLS,
        // see initMTP). Reusing any prefix — even the plain seq_rm fast path —
        // then inherits that polluted state and shifts the distribution. Force a
        // full reprocess for these drafts (the pre-reuse MTP behaviour); it is
        // detected on the first generation turn, so this engages from turn 2 on.
        if (mtp_draft_mem_shared) {
            n_common = 0;
        }
        n_past = (llama_pos) n_common;

        embd = text_tokens;
        if (n_past == num_prompt_tokens) {
            // we have to evaluate at least 1 token to generate logits.
            n_past--;
        }

        // Manage KV cache
        probeStateCache();
        auto * kv = llama_get_memory(parent_ctx->ctx);
        if (mtp_draft_mem_shared) {
            llama_memory_clear(kv, false);  // drop the polluted shared window
        }
        bool cache_remove_success = llama_memory_seq_rm(kv, 0, n_past, -1);

        // Recurrent/hybrid/SWA: seq_rm fails beyond the rollback window; restore
        // the longest matching snapshot and reprocess only the diverged tail.
        if (!cache_remove_success) {
            if (recoverStateCheckpoint(text_tokens, n_common, num_prompt_tokens, n_past)) {
                LOG_INFO("restored state checkpoint: reusing %d/%zu prompt tokens",
                    n_past, num_prompt_tokens);
            } else {
                LOG_WARNING("no usable state checkpoint (recurrent/hybrid/SWA model), doing full cache clear");
                llama_memory_clear(kv, false);
                clearStateCheckpoints();
                n_past = 0;
            }
        }

        // Frontier capture: the reused state already rests at n_past, so snapshot
        // it here — one readback, no decode split. tokens[0,n_past) is the verified
34:void llama_rn_context_completion::rewind() {
35-    resetSpeculative();
36-    is_interrupted = false;
37-    parent_ctx->params.antiprompt.clear();
38-    parent_ctx->params.sampling.grammar = {};
39-    parent_ctx->params.sampling.grammar_lazy = false;
40-    parent_ctx->params.sampling.grammar_triggers.clear();
41-    parent_ctx->params.sampling.preserved_tokens.clear();
42-    parent_ctx->params.sampling.generation_prompt.clear();
43-    num_prompt_tokens = 0;
44-    num_tokens_predicted = 0;
45-    num_draft_tokens = 0;
46-    num_draft_tokens_accepted = 0;
47-    resetGenerationTimings();
48-    prefill_text = "";
49-    generated_text = "";
50-    generated_text.reserve(parent_ctx->params.n_ctx);
51-    utf8_gate.reset();
52-    truncated = false;
53-    context_full = false;
54-    stopped_eos = false;
55-    stopped_word = false;
56-    stopped_limit = false;
57-    stopping_word = "";
58-    incomplete = false;
59-    n_remain = 0;

Agent

▸ Bash grep -rn "clearCache\|clear_cache" *.cpp *.h | head; grep -n "embd.clear()\|e...

Input

$ grep -rn "clearCache\|clear_cache" *.cpp *.h | head; grep -n "embd.clear()\|embd = {}\|embd.resize(0)" *.cpp | head

Output

rn-llama.cpp:859:void llama_rn_context::clearCache(bool clear_data) {
rn-llama.h:199:    void clearCache(bool clear_data = false);
rn-completion.cpp:1276:        embd = {};
rn-llama.cpp:874:        completion->embd.clear();
rn-slot-manager.cpp:796:                            slot.embd.clear();
rn-slot.cpp:84:    embd.clear();

Agent

▸ Bash sed -n 855,885p rn-llama.cpp; sed -n 1268,1282p rn-completion.cpp

Input

$ sed -n 855,885p rn-llama.cpp; sed -n 1268,1282p rn-completion.cpp

Output

    LOG_INFO("Parallel mode disabled");
}

void llama_rn_context::clearCache(bool clear_data) {
    if (ctx == nullptr) {
        LOG_WARNING("Cannot clear cache: context not initialized");
        return;
    }

    auto * kv = llama_get_memory(ctx);
    if (kv == nullptr) {
        LOG_WARNING("Cannot clear cache: memory not available");
        return;
    }

    llama_memory_clear(kv, clear_data);

    if (completion != nullptr) {
        completion->embd.clear();
        completion->n_past = 0;
        completion->clearStateCheckpoints();
        LOG_INFO("Cache cleared and completion state reset (clear_data=%s)", clear_data ? "true" : "false");
    } else {
        LOG_INFO("Cache cleared (clear_data=%s)", clear_data ? "true" : "false");
    }
}

}

    const llama_vocab * vocab = llama_model_get_vocab(parent_ctx->model);
    std::vector<llama_token> query_tokens = common_tokenize(vocab, query, false, true);

    scores.reserve(documents.size());

    for (size_t i = 0; i < documents.size(); ++i) {
        rewind();
        embd = {};

        const std::string & document = documents[i];

        std::vector<llama_token> doc_tokens = common_tokenize(vocab, document, false, true);

        std::vector<llama_token> rerank_tokens = format_rerank_tokens(vocab, query_tokens, doc_tokens);

Agent

▸ Edit ~\hacks\calavera-ai\src\features\engine\embeddings.ts

Input

~\hacks\calavera-ai\src\features\engine\embeddings.ts

Output

The file ~\hacks\calavera-ai\src\features\engine\embeddings.ts has been updated successfully. (file state is current in your context — no need to Read it back)

Agent

▸ Bash cd ~/hacks/calavera-ai && npx tsc --noEmit 2>&1 | tail -5; grep -rn "upsertVe...

Input

$ cd ~/hacks/calavera-ai && npx tsc --noEmit 2>&1 | tail -5; grep -rn "upsertVector\|insertVector\|memory_vectors" src/features/memories/repo.ts | head; grep -n "export async function" src/features/memories/repo.ts

Output

67:      'INSERT INTO memory_vectors (chunk_id, profile_id, embedding) VALUES (?, ?, ?)',
89:      await db.runAsync('DELETE FROM memory_vectors WHERE chunk_id = ?', id);
111:      FROM memory_vectors
47:export async function insertMemory(txn: SQLiteDatabase, memory: NewMemory): Promise<number> {
76:export async function listMemories(profileId: number): Promise<Memory[]> {
99:export async function searchMemories(

Agent

Typecheck passes. Vectors saved before this fix are still wrong, so existing archives need re-indexing once. Checking whether there's a simple place for that:

Agent

▸ Bash sed -n 1,80p src/db/migrations.ts | grep -n "CREATE\|user_version\|version" ;...

Input

$ sed -n 1,80p src/db/migrations.ts | grep -n "CREATE\|user_version\|version" ; sed -n 40,75p src/features/memories/repo.ts

Output

9: * `user_version = n` to `n + 1`. Never edit a migration that has shipped.
14:      CREATE TABLE profiles (
23:      CREATE TABLE memories (
30:      CREATE INDEX idx_memories_profile ON memories(profile_id, created_at DESC);
32:      CREATE TABLE memory_chunks (
38:      CREATE INDEX idx_chunks_memory ON memory_chunks(memory_id);
42:      CREATE VIRTUAL TABLE memory_vectors USING vec0(
48:      CREATE TABLE ofrenda_items (
59:      CREATE INDEX idx_ofrenda_tier ON ofrenda_items(tier, created_at DESC);
61:      CREATE TABLE tributes (
71:      CREATE INDEX idx_tributes_profile ON tributes(profile_id, created_at DESC);
}

/**
 * Writes a memory, its chunks and their vectors in one exclusive transaction,
 * so the archive never holds a memory that cannot be retrieved.
 * Accepts a transaction so callers can compose it with other writes.
 */
export async function insertMemory(txn: SQLiteDatabase, memory: NewMemory): Promise<number> {
  const { lastInsertRowId: memoryId } = await txn.runAsync(
    'INSERT INTO memories (profile_id, source, body, created_at) VALUES (?, ?, ?, ?)',
    memory.profileId,
    memory.source,
    memory.body,
    memory.createdAt ?? Date.now(),
  );

  for (let index = 0; index < memory.chunks.length; index++) {
    const content = memory.chunks[index];
    const vector = memory.vectors[index];
    if (content === undefined || vector === undefined) continue;
    const { lastInsertRowId: chunkId } = await txn.runAsync(
      'INSERT INTO memory_chunks (memory_id, profile_id, content) VALUES (?, ?, ?)',
      memoryId,
      memory.profileId,
      content,
    );
    await txn.runAsync(
      'INSERT INTO memory_vectors (chunk_id, profile_id, embedding) VALUES (?, ?, ?)',
      chunkId,
      memory.profileId,
      toVectorBlob(vector),
    );
  }
  return memoryId;
}

Agent

▸ Bash sed -n 1,12p src/db/migrations.ts; sed -n 72,140p src/db/migrations.ts; sed -...

Input

$ sed -n 1,12p src/db/migrations.ts; sed -n 72,140p src/db/migrations.ts; sed -n 1,60p src/features/memories/service.ts

Output

import type { SQLiteDatabase } from 'expo-sqlite';

import { EMBEDDING_DIMENSIONS } from '@/features/models/registry';

type Migration = (db: SQLiteDatabase) => Promise<void>;

/**
 * Ordered, append-only migrations. Index `n` upgrades the schema from
 * `user_version = n` to `n + 1`. Never edit a migration that has shipped.
 */
const MIGRATIONS: readonly Migration[] = [
  async (db) => {
    `);
  },
  // v2: poems in Spanish, English or both. Earlier tributes were all Spanish.
  async (db) => {
    await db.execAsync(`
      ALTER TABLE tributes ADD COLUMN language TEXT NOT NULL DEFAULT 'es' CHECK (language IN ('es', 'en'));
      ALTER TABLE tributes ADD COLUMN translation TEXT;
    `);
  },
];

export async function migrate(db: SQLiteDatabase): Promise<void> {
  const row = await db.getFirstAsync<{ user_version: number }>('PRAGMA user_version');
  const current = row?.user_version ?? 0;

  for (let version = current; version < MIGRATIONS.length; version++) {
    const migration = MIGRATIONS[version];
    if (!migration) break;
    // Same connection on purpose: vec0 only exists where sqlite-vec was loaded (see withTransaction).
    await db.withTransactionAsync(async () => {
      await migration(db);
      await db.execAsync(`PRAGMA user_version = ${version + 1}`);
    });
  }
}
import { withTransaction } from '@/db/database';
import { embedText, embedTexts } from '@/features/engine/embeddings';
import type { ModelPack } from '@/features/models/registry';
import { UserFacingError } from '@/shared/lib/errors';

import { chunkText } from './chunker';
import { insertMemory, searchMemories } from './repo';
import type { MemoryMatch, MemorySource } from './types';

export interface PreparedMemory {
  profileId: number;
  source: MemorySource;
  body: string;
  chunks: string[];
  vectors: Float32Array[];
}

/** Chunks and embeds a narrative on-device. Pure inference: nothing is written yet. */
export async function prepareMemory(
  pack: ModelPack,
  input: { profileId: number; source: MemorySource; body: string },
): Promise<PreparedMemory> {
  const body = input.body.trim();
  const chunks = chunkText(body);
  if (chunks.length === 0) throw new UserFacingError('Write a few words before saving the memory.');
  const vectors = await embedTexts(pack, chunks);
  return { ...input, body, chunks, vectors };
}

/** The Storage Layer: text → chunks → 384-d vectors → sqlite-vec. */
export async function addMemory(
  pack: ModelPack,
  input: { profileId: number; source: MemorySource; body: string },
): Promise<number> {
  const prepared = await prepareMemory(pack, input);
  return withTransaction((db) => insertMemory(db, prepared));
}

export async function findRelatedMemories(
  pack: ModelPack,
  query: string,
  options: { profileId: number | null; limit: number },
): Promise<MemoryMatch[]> {
  const vector = await embedText(pack, query);
  return searchMemories(vector, options);
}

Agent

I'm adding a one-time repair: a migration marks every existing chunk as stale, and the first search afterwards re-embeds them.

24 messages (range 1703-1726) of 1868 total

The Spirit of It

On November 1 and 2, families set out a photo, some marigolds, a candle, and the food the person loved, so that the dead can find their way home for a night. Calaveritas are part of that: laughing with the people we've lost, not just grieving them.

I wanted to build something that belongs on that altar. It doesn't replace anyone and it doesn't pretend to be them: it remembers what you tell it, keeps it to itself, and gives it back as a little poem that makes the family laugh. If you build an ofrenda this week, I hope it helps you write one for someone you miss. 🕯️🌼

Prize Categories

• Best Use of Gemma. Gemma writes every calaverita (Gemma 2 2B Instruct on 4–5 GB phones, Gemma 4 E2B on 6 GB+ phones), translates it into English, and on the Plus pack Gemma 4 E2B is also the vision model that recognises heirlooms. All of it runs on-device through llama.cpp.

---

Built with help from Claude Code (Anthropic) as a pair programmer: architecture, code, debugging on the emulator, and drafting this post. Every feature described here was tested on an Android emulator and my physical device before writing about it.

Thanks for participating!