A
licenseNot graded
qualityF
maintenanceA persistent, human-like memory system for AI companions in LM Studio, using SQLite and ChromaDB for hybrid storage, enabling seamless recall across sessions and models.
34
MIT
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"Information or content related to the show Taskmaster or the term Task Master" matching MCP servers:
- FlicenseNot gradedqualityCmaintenanceAn enterprise-ready MCP server that exposes a RAG tool for retrieving relevant context and metadata from a Qdrant vector database using natural language queries.2
- FlicenseNot gradedqualityCmaintenanceMCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.
- FlicenseNot gradedqualityDmaintenanceAn MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
- AlicenseDqualityCmaintenanceA lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.12MIT
- AlicenseAqualityDmaintenanceProvides AI assistants with long-term semantic memory capabilities through local vector-based storage. Enables storing, recalling, and managing information across sessions with complete privacy using ChromaDB, with no data ever leaving your machine.39MIT
- AlicenseAqualityAmaintenanceTurns a tools.yaml contract into typed, tenant-guarded vector database tools that agents can use via Python imports or MCP.71Apache 2.0
- AlicenseAqualityCmaintenanceConnects AI assistants to a persistent memory engine with Neo4j knowledge graph and ProMem extraction, enabling long-term context and associative memory across chats and workspaces.67MIT
- AlicenseAqualityAmaintenanceAn MCP server that provides persistent semantic memory for LLMs by building a concept graph with vector search. It enables storing, linking, and retrieving concepts across conversations using Turso vector search and 256-dimensional embeddings.226PolyForm Noncommercial 1.0.0
- AlicenseBqualityDmaintenanceVecFS is a lightweight, local-first vector storage specification and implementation for AI agent long-term memory. It provides an MCP server enabling agents to search, memorize, and manage context.49Apache 2.0
- AlicenseBqualityDmaintenanceAn MCP server for providing semantically related Ethereum Improvement Proposals (EIPs) to AI agents.13MIT
- AlicenseBqualityDmaintenanceEnables fetching relevant content and embeddings from Supavec via the Model Context Protocol, allowing AI assistants like Claude to access vector search capabilities.294MIT
- FlicenseCqualityDmaintenanceEnables storing and retrieving information using vector embeddings with semantic search capabilities. Integrates with the AI Embeddings API to automatically generate embeddings for content and perform similarity-based searches through natural language queries.2
deepmemofficial
AlicenseNot gradedqualityBmaintenanceMem0-compatible persistent memory for AI agents - write facts once, recall them semantically in any session. Self-hostable open-source server, or managed cloud with a remote MCP endpoint at https://deepmem.dev/mcp.29MIT
tigergraph-mcpofficial
AlicenseNot gradedqualityCmaintenanceModel Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.3Apache 2.0- AlicenseNot gradedqualityAmaintenanceA high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.32711MIT
- AlicenseNot gradedqualityCmaintenanceHelps developers tackle legacy codebases by giving AI coding assistants context through Qdrant vector store and Agentic RAG with Ollama or DeepSeek.11513MIT
- AlicenseNot gradedqualityDmaintenanceA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceMCP Memory is an MCP Server that gives MCP Clients the ability to remember information about users across conversations. It uses vector search technology to find relevant memories based on meaning, not just keywords.11MIT
- AlicenseNot gradedqualityNot gradedmaintenanceProvides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.