It is possible to add continues learning plugin using automated hooks to manage agent memory.
Need find a way properly distribute agent context at session end and when he finds new useful information between:
- Claude.md - long term critical experience
- Rules - findings and patterns
- Skills - complex use cases and strategies
On top of that many current researches and projects incorporate:
- progress.md, state.md or log.md to describe current state.
- Roadmap.md or Main.md to incorporate long term projects roadmap
Possible to use following patterns: