Machina is a suite of developer tools powered by AI — that actually improve over time by tracking your workflow patterns, errors, and decisions session by session.
MIT licensed · runs locally · no cloud required
Most AI tools forget everything when you close the tab. Machina uses a persistent learning layer that records lessons learned, workflow patterns, and preferences — and makes them available to the AI on the next session, automatically.
The result: an AI assistant that already knows you prefer offline-first tools, that palette choices come from reference images, and that you never want decorative animations. You stop repeating yourself. The AI stops making the same mistakes.
nohup node fails silently without nvm env.
LearnBoard is the interface to the layer that makes Machina unique. Every lesson the AI learns, every pattern it recognizes, every workflow preference — stored in a structured file and surfaced here as a living dashboard you can read, search, and edit in real time.
Record your screen and audio while reproducing a bug. BugCapture transcribes your voice
with offline Whisper, extracts sequential screenshots, and packages everything into
a single .md file your AI agent can understand and act on immediately.
Every session feeds the next. The AI accumulates context, preferences and lessons — so it gets more useful over time without any manual configuration.
We help companies integrate AI agents into their existing dev processes — without disrupting what already works. From custom tool development to training your team on AI-augmented debugging workflows.