Learning flow now goes through the service, not local JSONL:
- POST /memory/learn: accepts markdown, chunks it, runs gated loop
(LLM evaluates + compacts), stores in pgvector. OpenAI-style API.
- mem learn CLI: reads files, calls POST /memory/learn per file
- Removed cmd_compact (gated loop IS the compaction)
- Updated README with new commands and API docs
Memory never grows unbounded — every update is a rewrite, not append.
The gated loop LLM acts as evaluator + compactor in one pass.
rock
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