LLM-Kasten brings structured knowledge CLI to AI agents

LLM-Kasten is a clever infrastructure play that acknowledges agents need more than just a flat file context to be effective over long horizons.

• –Agent-first design with auto-discovery via CLAUDE.md/GEMINI.md is a friction-less integration pattern.
• –Structured JSON output for all CLI commands ensures agents don't have to hallucinate parsing logic.
• –Built-in MCP server makes it immediately useful for state-of-the-art IDEs like Cursor and Windsurf.
• –Note lifecycle management (draft to evergreen) prevents knowledge rot in agent-maintained wikis.
• –Lightweight Python/SQLite stack makes it easy to bundle with any local repository.