I built JARVIS — a local-first AI assistant you actually own (macOS + Linux, MIT)

Christopher Studva — Wed, 12 Aug 2026 04:41:26 +0000

Siri, Alexa, and Google Assistant are thin clients. The intelligence lives on
someone else's servers, every word you say leaves your house, and the moment
the vendor has an outage — or you're on a plane — they mostly stop working.

I wanted the JARVIS I was promised: always on, genuinely helpful, and mine.
So I built one — Jarvis CLS — and open-sourced it (MIT).

The idea: you own the whole stack

🧠 Your brain. Run a private local model (Ollama / llama.cpp), your own server, or a frontier cloud API — with health-aware failover between them.
🗣️ Your voice. Swappable TTS profiles you can change mid-sentence.
💾 Your data. Every note, embedding, and audit line lives on your disk under ~/.jarvis — exportable and clearable.
✈️ Works offline. Local speech-to-text (faster-whisper), local voices (piper/pyttsx3), and a model chain that always ends in an on-device fallback. Unplug the internet and it keeps talking.

No account. No forced cloud. No fixed voice. No "sorry, I can't reach the
server right now."

What it actually does

43 permission-tiered skills — every elevated tier is off until you turn it on, with a local audit log.
Proactive, not just reactive — an ambient agent that speaks first on real triggers ("Battery is at 18%… I'd recommend saving your open work").
Decomposes messy requests — say one sentence, it plans and executes the steps.
Extensible via MCP — add any Model Context Protocol tool server; still permission-gated and audited.
Runs natively on macOS and Linux (X11 or Wayland).
Picks how it addresses you on first run — a preset or your own name.

It's ~16,000 lines, 646 passing tests, ruff- + mypy-clean (enforced in CI),
and hardened across five rounds of adversarial security review.

Try it

macOS

cd jarvis-unstoppable && brew install portaudio && make setup && make run

Linux

cd jarvis-unstoppable && bash scripts/install_linux.sh && make setup && scripts/dev_run.sh

Leave the API keys blank to run fully local/offline, or add them for a cloud brain.

Why open-source it?

Because an assistant that listens to everything you say should be one you can
read the source of. It's MIT, source-available, and self-hostable. If that's the
kind of assistant you've wanted, a ⭐ helps others find it — and I'd love to hear
what you'd build on top of it.

Repo: https://github.com/reapersapprentice/Jarvis-CLS

— C.Studva

Running Popular OSINT & Recon Tools Natively on macOS (No VM, No Kali)

Christopher Studva — Wed, 12 Aug 2026 02:42:12 +0000

If you do security research or OSINT on a Mac, you've hit this wall: half the
best tools are written for Linux, so the "solution" is spinning up a Kali VM or
fighting a pile of dependencies just to run one script.

I got tired of that, so I packaged several popular open-source tools to run
natively on macOS — Intel and Apple Silicon — with copy-paste setup that
a first-timer can follow. Each one is an independent macOS conversion; the
original authors and licenses are credited in every repo.

⚠️ Authorized use only. These are for legal, educational, and authorized
security testing. Only use them against systems you own or have written
permission to test.

Here's the lineup and how to run each one.

🔓 Hash-Buster — identify & crack hashes

Detects a hash's type and looks up the cracked value across multiple databases.

git clone https://github.com/reapersapprentice/Hash-Buster-macOS.git
cd Hash-Buster-macOS
pip3 install -r requirements.txt
python3 hash.py -s 5f4dcc3b5aa765d61d8327deb882cf99

→ https://github.com/reapersapprentice/Hash-Buster-macOS

🌐 theHarvester — map a domain's public footprint

Gathers emails, subdomains, hosts and names for a domain from dozens of public
sources — a classic first step in an authorized assessment.

git clone https://github.com/reapersapprentice/theHarvester-macOS.git
cd theHarvester-macOS
pip3 install .
python3 -m theHarvester -d example.com -b duckduckgo

→ https://github.com/reapersapprentice/theHarvester-macOS

🦅 Eagle Eye — find social profiles from a photo

Uses face recognition to match a person across social networks and builds a
tidy report. Needs a couple of Homebrew packages; the repo's Quick Start
installs them for you.

→ https://github.com/reapersapprentice/EagleEye-macOS

🧭 Sublist3r — fast subdomain enumeration

Rapidly enumerates a domain's subdomains from search engines and public sources.

git clone https://github.com/reapersapprentice/Sublist3r-macOS.git
cd Sublist3r-macOS
pip3 install -r requirements.txt
python3 sublist3r.py -d example.com

→ https://github.com/reapersapprentice/Sublist3r-macOS

🕳️ httptunnel — tunnel a data stream over HTTP

Creates a bidirectional connection tunnelled inside HTTP. It's written in C, so
this build compiles and runs it for you inside a small container — no compiler
setup by hand.

→ https://github.com/reapersapprentice/httptunnel-macOS

New to the Terminal?

Every repo has a beginner section: open Terminal (Cmd ⌘ + Space → type
Terminal), run one line at a time, and paste with Cmd ⌘ + V. That's the whole
learning curve.

Why bother converting instead of just using a VM?

Because a VM is a lot of overhead for "I just want to run one recon tool." Native
means it starts instantly, uses your real filesystem, and doesn't eat 4 GB of RAM
in the background. For day-to-day OSINT on a Mac, that's a real quality-of-life
win.

If these are useful to you, a ⭐ on the repos helps others find them. More
conversions are on the way.