Provides persistent knowledge graph memory for AI agents with local semantic search using Neo4j and ONNX embeddings, enabling offline operation with zero API costs.
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Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
When Vitest UI server is listening, arbitrary file can be read and executed
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`
process.env. You'll be asked to provide them before it can run.EMBEDDING_PROVIDER— Choose 'auto', 'local', or 'openai'EMBEDDING_RATE_LIMIT_INTERVALEMBEDDING_RATE_LIMIT_TOKENSLOCAL_EMBEDDING_MODEL— Select which BGE model to useMEMORY_FILE_PATHMEMORY_STORAGE_TYPEMNEMOSYNE_AUTO_CLEANUPMNEMOSYNE_FORCE_DATABASEMNEMOSYNE_ISOLATION_LEVELMNEMOSYNE_PROJECT_NAMEMNEMOSYNE_PROJECT_ROOTMNEMOSYNE_RETENTION_DAYSMOCK_EMBEDDINGSNEO4J_DATABASE— "": "neo4j",NEO4J_PASSWORD— memento123NEO4J_SIMILARITY_FUNCTIONNEO4J_URI— bolt://127.0.0.1:7687NEO4J_USERNAME— "": "neo4j",NEO4J_VECTOR_DIMENSIONSNEO4J_VECTOR_INDEXOPENAI_API_KEY— Uses OpenAI if is presentOPENAI_EMBEDDING_MODEL— text-embedding-3-smallTEST_INTEGRATIONVITEST[](https://m8ven.ai/mcp/zhadyz-mnemosyne-mcp-1n0ywd)