BB knowledge-compiler

Knowledge compiler: teaches agents to incrementally compile source files into persistent wikis for cross-session knowledge accumulation. Runtime dependencies: Python 3.8+ (stdlib + pydantic). Optional enhancements: WebSearch (active search), external MCP validator (logic validation). Five modes, automatically routed based on user intent: recall → User wants to answer questions based on existing knowledge. Trigger words: recall, knowledge mode, open wiki, answer with knowledge, according to wiki, based on accumulation, check wiki, does wiki have, researched before, previously organized. ingest → User provided new material, wants to compile into wiki. Trigger words: ingest, compile, organize this, digest this, study this, archive, add this in, accumulate, research this, help me organize, add to knowledge base. query → User asked a specific question, wants to find answer from wiki (one-time). Trigger words: query, answer according to wiki, what does wiki say, check it. lint → User wants to check wiki health. Trigger words: lint, check wiki, wiki health, clean up, any conflicts. deep-dive → User wants Agent to automatically find knowledge gaps and fill them. Trigger words: deep-dive, deep dive, fill gaps, research gaps, level up, auto-complete wiki, knowledge completion, comprehensive fill. Note: deep-dive is not an independent mode, it's a combined pipeline of lint(Coverage) + ingest(search-fill).

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