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bread logo

Machines that
learn like humans.

Open-source tools, infrastructure, and APIs for composable LLM behavior & adaptive intelligence.
Don't let your AI stagnate.
Take control with Bread.

Website LinkedIn Twitter Discord

🚀 Mission

Bread gives people—not oligopolies—control over AI.

Today’s language models are static, one-size-fits-all, and centralized. We’re building open tools to break that paradigm. Bread delivers cloud and open-source systems enabling precise, versioned, and composable updates—at the weight level—of LLMs. You can teach, refine, or update a model just by describing what you want, in natural language, as easily as correcting a friend.

Why?

  • Machine learning shouldn’t be locked behind a PhD.
  • You shouldn’t need specialist teams or corporate buy-in to adjust model behavior.
  • Everyone should be able to build, adapt, and own intelligence that works their way.

We’re fundamentally against centralization of AI control, and we believe adaptive, iterative teaching—by demonstration, question/answer, and practice with feedback—makes models both more useful and more human-aligned.

No “AI priesthood.” No static black-boxes. Only intelligence you can teach.


🥖 What’s in this Org?

  • ⚡️ aibread SDK
    Official JavaScript/TypeScript SDK to interact with our cloud API and run prompt bakes. Composable edits, dependency tracking, and more.

  • 🗃️ aibread·mcp
    “Multipurpose Control Panel” microserver. User-friendly abstraction around the SDK for orchestrating model edits, chaining bakes, and collaborative workflows.

  • 🌱 aibread·bgit
    Git-style “branch & merge” versioning for machine learning artifacts. Bring order and clarity to LLM weight changes.

  • 🐍 PyPI: aibread
    Python tools for editing and composing model behaviors (early availability, more OSS tools “coming soon”).


🌐 Links


💡 Key Features

  • Composable LLM “baking”: Stack, chain, and recompose model edits as easily as merging branches.
  • Natural language weight editing: Edit and update model behavior using instructions and feedback, no deep learning expertise needed.
  • Open and modular: Connect with our cloud or (soon) self-host open tools for surgical model versioning.
  • Decentralized control: Bread is fundamentally committed to empowering everyone to adapt, teach, and own AI.

💬 Want open-source libraries? More OSS tools are coming soon—stay tuned!

🚧 Roadmap

  • 🔜 More open-source tools & self-hosted options (“coming soon”)
  • Improved docs, guides, and walkthroughs (contributions welcome!)
  • Community bakes, bake sharing, and collaborative workflows

🤝 Contributing

We welcome researchers, engineers, and the merely AI-curious.
Check individual project repos for contribution guidelines—or join Discord to get involved.


“Never stop learning.”