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.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,311 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/BuffaloTechRider/Autodidact |
| Publication time | Tue, 19 May 2026 15:36:37 +0000 |
| Retrieval time | 2026-05-19T15:44:57.717Z |
| Last seen | 2026-05-19T15:44:57.717Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | aBbBrcEjoNEk · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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.