Show HN: Autodidact – Self-evolving local-first AI agent
Autodidact is a self-evolving AI agent designed to learn and adapt like a new employee. It utilizes a local brain to handle tasks independently, escalating to cloud resources when necessary. Over time, it retains knowledge from interactions, becoming increasingly proficient in its capabilities.
- ▪Autodidact learns by evaluating tasks and questions, executing independently when possible.
- ▪It escalates to cloud resources for assistance when uncertain, storing new knowledge for future reference.
- ▪The agent can be set up in various modes, including fully offline or with cloud support.
Opening excerpt (first ~120 words) tap to expand
Autodidact A self-evolving AI agent that learns like a new employee. Autodidact is an AI agent with a local brain that works like a human, or a new employee. When asked a question or given a task, it thinks first and evaluates whether it can handle the task or answer the question by itself (local brain). If yes, it executes. If not, it escalates - by searching Google or asking a more powerful cloud model - just like how humans work. After the escalation, it learns the new knowledge, skills, or tool usages so next time it won't have to ask similar questions again. On day one, it asks a lot of questions. By week two, it handles most tasks independently. By month three, it's the expert. Every cloud escalation becomes permanent local knowledge. Every interaction makes it smarter.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.