Swd146296/dsh-memos-bridge

README 摘要

dsh-memos-bridge A DeepSeek Harness bundle that bridges the MemOS memory service into the agent over MCP . Install the bundle, run one setup script, restart the Harness, and the agent gains persistent-memory tools named mcp memos . What you get With the bundle active, the agent can call (a subset of the MemOS MCP surface): Tool Purpose add memory add a memory from text, a document, or conversation messages search memories semantic search across the user's memory cubes get memory / update memory / delete memory inspect / correct / remove single memories create cube / register cube / share cube manage memory cubes chat memory-enhanced chat with the MOS system control memory scheduler start/stop the async memory scheduler … 16 tools total, listed by the smoke test How it works The bundle contributes only a configuration layer ( dsh.bundle + cordis.patch.yml ); it mounts the stock @deepseek-ai/dsh-mcp-client plugin with a stdio server row. No Harness code is modified. Prerequisites - dsh CLI installed (the bundle relies on its built-in @deepseek-ai/dsh-mcp-client ). - A MemOS checkout with its docker stack up (the compose in MemOS/docker provides Neo4j + Qdrant + the MemOS API). - Pyth…

分类