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  • Agentic RAG MCP

    enached134-ctrl
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    quality
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    maintenance
    A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.
    3
    1
    MIT

  • Chronicle Beta

    AnirudhB-6001
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    quality
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    maintenance
    A local-first personal RAG memory system that turns AI conversation history into a searchable, retrievable knowledge base via MCP, enabling LLMs to semantically search past conversations.
    2
    8
    AGPL 3.0

  • MCP RAG

    kalicyh
    F
    license
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    quality
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    maintenance
    Intelligent knowledge base system that enables users to process documents in 25+ formats, perform semantic search and Q\&A through vector retrieval. Supports multiple AI models including OpenAI and DouBao with local processing capabilities.
    10
    6

  • MemoVault

    Blvckjs96
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    quality
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    maintenance
    A personal memory system that provides AI assistants with long-term memory capabilities through semantic search and vector storage. It enables Claude Code to store, retrieve, and manage personal context and project preferences using flexible LLM backends.
    8
    MIT

  • claude-memory

    allenc84
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    license
    A
    quality
    B
    maintenance
    A persistent semantic memory system for Claude Code, using vector search and a judgment ledger to surface prior decisions and calibrate predictions.
    17
    MIT

  • Hystersis MCP Server

    Himan-D
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    license
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    quality
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    maintenance
    Connects 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.
    6
    10
    MIT

  • acme-mcp

    Origin-Digital-LLC
    F
    license
    B
    quality
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    maintenance
    A nested MCP system that demonstrates server composition by using an orchestrator to manage an internal vector store for semantic search. It enables complex, multi-hop retrieval and reasoning over a knowledge base through an agentic reasoning loop.
    1

  • Tiny Chat

    to-aoki
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    license
    D
    quality
    C
    maintenance
    A 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.
    1
    2
    MIT
  • @vectros-ai/mcp-server by vectros-ai

    @vectros-ai/mcp-serverofficial

    vectros-ai
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    license
    -
    quality
    A
    maintenance
    MCP server for Vectros, a typed multi-tenant record store with hybrid search and citation-grounded RAG, enabling agents to query, search, and ask questions over their own indexed data.
    80
    1
    Apache 2.0