lna-lab/distill-kura

README 摘要

蒸留蔵 — distill-kura A long-term memory for agents that is distilled, not accumulated. Recall works by meaning , writing is gated by evidence , and one server can hold several separate memories — one per agent mode — so switching mode switches what the agent remembers. Ships as a DeepSeek Harness plugin, an MCP server for any other host, an HTTP service, and a Python library. Standard library only; no vector database, no embeddings, no framework. Why this exists Two failures kill an agent's long-term memory, and they kill it from opposite sides. Retrieval by keyword misses the thing you needed. A question about "SSD inference chips" shares no word with a memory titled "running the 2.6T model off an SSD tier" — yet they are the same subject. Word search returns nothing; the agent answers from nowhere. The fix here is not embeddings but recognition : the entire index (one line per memory, written as a recognition trigger) goes into one prompt, and a small model names what bears on the question. An index of 500 memories is around 6k tokens — a few percent of a modern context window, and it sits in the prefix cache. Writing everything poisons the store. An agent asserts something; a naiv…

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