Persistent memory MCP server that stores and retrieves memories in Markdown files, enabling shared context across multiple AI agents with hybrid search and deduplication.
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process.env. You'll be asked to provide them before it can run.GEMINI_API_KEYGOOGLE_API_KEY— "": "your-key-here"MCP_DEBUG— Set =1 to log proxy traffic to stderr for troubleshooting.MCP_REMOTE_URL— "": "http://my-machine.tail1234.ts.net:3456/mem-persistence/mcp"MEM_PERSISTENCE_BIND— Or via environment variable: =127.0.0.1,tailscaleMEM_PERSISTENCE_DEDUP_THRESHOLD— Adjust the threshold: =0.65 (default — lower = stricter).MEM_PERSISTENCE_EMBEDDINGS— "": "gemini",MEM_PERSISTENCE_EMBEDDINGS_API_KEYMEM_PERSISTENCE_EMBEDDINGS_MODELMEM_PERSISTENCE_HOSTMEM_PERSISTENCE_PORTMEM_PERSISTENCE_WORKSPACE— You can also set the workspace via environment variable: =/path/to/workspaceOPENAI_API_KEY— your-key # OpenAI — $0.02/M tokens[](https://m8ven.ai/mcp/emiliotorrens-mem-persistence-3buz4n)