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Dustin Pilgrim
Dustin Pilgrim

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Personal AI Should Be Local-First Infrastructure You Own

#ai #opensource #selfhosted #python

Launching BitBuddy v0.1.0

The “personal AI” most people are being sold right now is still basically a stateless cloud chatbot in someone else’s browser tab.

That is not enough.

If an AI is supposed to help across your actual life and work, it needs memory. It needs context. It needs boundaries. It needs a place to live with your computer instead of disappearing at the end of every session.

That is the thesis behind BitBuddy.

Today I’m launching BitBuddy v0.1.0.

Site: https://getbitbuddy.com
GitHub: https://github.com/bitbuddy-project/bitbuddy-brain

What BitBuddy Is

BitBuddy is an open-source local-first AI companion for your computer.

It runs as a local backend plus dashboard. It keeps memory and config under ~/.bitbuddy. It supports local or self-hosted model providers. It can work with approved project, mail, calendar, and workspace context.

The goal is not just another chat UI.

The goal is a personal AI layer that can remember what matters, notice useful context, and help across your day while staying inspectable and under your control.

Why Local-First Matters

A personal AI has a different trust profile than a search assistant or a coding autocomplete.

If it is going to remember your projects, your routines, your preferences, your open loops, your calendar, your mail, and the way you work, then ownership matters.

Local-first does not mean “never use hosted services.”

It means the default architecture starts from user control:

  • memory lives close to you
  • configuration is inspectable
  • project paths are explicit
  • context is approved
  • autonomy has boundaries
  • the system can work with local and self-hosted models

I do not want the future of personal AI to be a collection of rented sessions inside cloud tabs.

I want it to be infrastructure users can own.

What v0.1.0 Includes

BitBuddy v0.1.0 is early, but installable now.

It includes:

  • a Python backend
  • a local web dashboard
  • structured memory
  • project context
  • local/self-hosted model provider support
  • mail and calendar hooks
  • skills
  • safe autonomy boundaries
  • local config and storage under ~/.bitbuddy
  • a bitbuddy update command for source installs

Install:

curl -fsSL https://getbitbuddy.com/install.sh | bash
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Then:

bitbuddy setup
bitbuddy serve
bitbuddy dashboard
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Safe Autonomy, Not Blind Autonomy

I think “agent autonomy” is usually talked about too loosely.

For BitBuddy, autonomy is not supposed to mean “let the model do anything.”

It means useful independent motion inside boundaries:

  • read approved context
  • remember useful details
  • notice project or schedule patterns
  • prepare next steps
  • ask before touching user project files
  • keep risky actions gated

The goal is to make BitBuddy feel present without making it reckless.

A good companion should have initiative. It should not have unlimited permission.

Memory As A First-Class System

A lot of AI tools treat memory like a side feature.

BitBuddy treats memory as part of the core architecture.

The aim is not one giant transcript. The aim is layered continuity:

  • what happened
  • what matters
  • what projects exist
  • what decisions were made
  • how the user likes to work
  • what routines and skills are emerging
  • what the companion itself is becoming over time

That is where a local companion starts to feel meaningfully different from a normal chatbot.

Why I’m Building This

I build a lot of local-first tools: BitBuddy, Halley, Stasis, Rune CFG, EventLine, and more.

The common thread is simple: I want software that feels powerful without taking ownership away from the user.

BitBuddy is the AI piece of that ecosystem.

I do not think the future should be “everything in one company’s cloud assistant.”

I think the future should include personal software that can run close to the user, understand local context, and still remain inspectable.

What I Want Feedback On

This is v0.1.0, so I expect rough edges.

I would especially appreciate feedback on:

  • install friction
  • local model setup
  • self-hosting expectations
  • privacy boundaries
  • memory behavior
  • what feels useful vs. too much
  • what would make you trust something like this as a daily companion

Site: getbitbuddy.com
GitHub: bitbuddy-brain

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