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maintenanceSemantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.
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"How to Use MacOS" matching MCP servers:
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Zilliz MCP Serverofficial
AlicenseAqualityDmaintenanceEnables AI agents to interact with Milvus vector databases and Zilliz Cloud through natural language, allowing users to create clusters, manage collections, insert vector data, and perform semantic searches directly from their AI assistants.Last updated1634Apache 2.0- AlicenseAqualityCmaintenanceCline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.Last updated129MIT
- AlicenseAqualityDmaintenanceA TypeScript-based MCP server that provides project-specific knowledge graph memory for LLM agents to store and retrieve entities, relations, and observations. It features disk-persistent storage and supports cross-project knowledge sharing to enhance agent long-term memory.Last updated1497MIT
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Baidu Vector Database MCPofficial
AlicenseBqualityDmaintenanceA server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.Last updated143Apache 2.0
mcp-server-qdrantofficial
AlicenseBqualityDmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.Last updated21,477Apache 2.0- AlicenseBqualityDmaintenanceA persistent local vector memory server that allows users to store and search project-specific context using LanceDB and local embeddings. It enables MCP-compliant editors to maintain long-term memory across different projects without requiring external API keys.Last updated61MIT
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