Summary
This wiki is a working synthesis layer for fast-moving technical knowledge about agentic systems. It is designed to accumulate conclusions, comparisons, patterns, contradictions, and decision triggers across repeated research sessions.
Key points
- It is intentionally markdown-native and simple.
- It is optimized for compounding understanding, not just storing files.
- It complements OpenClaw memory and corp KB rather than replacing them.
- Its highest value comes from repeated questions across evolving tools, models, and runtime patterns.
Operational relevance
Use this repo when you need:
- a stable map of the local-model and agentic tooling landscape
- durable comparisons across frameworks and runtimes
- explicit notes on tradeoffs, gaps, and shifting beliefs
- reusable answers to recurring technical questions
Open questions
- Which Linear AI Dev issues should seed the first serious ingest wave?
- Which external sources should be mirrored locally first?
- What lint cadence is enough to control drift without creating ceremony?
Sources
docs/FIT_ASSESSMENT.mdwiki/sources/karpathy-llm-wiki-gist.md