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  • mem-context

    turbyho
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    maintenance
    Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.
    10
    MIT
  • ArcadeDB Multi-Model DBMS by ArcadeData

    ArcadeDB Multi-Model DBMSofficial

    ArcadeData
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    license
    A
    quality
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    maintenance
    ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
    10
    1,065
    Apache 2.0

  • AgenticRAG MCP Server

    aibozo
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    license
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    quality
    D
    maintenance
    An intelligent codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.
    2
    MIT

  • Modular RAG MCP Server

    IcedVodka
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    quality
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    A pluggable and observable Retrieval-Augmented Generation framework that exposes hybrid search and document management tools via the Model Context Protocol. It features a complete ingestion pipeline with multi-modal support, automated evaluation using Ragas, and a Streamlit dashboard for real-time tracking.
    1
    MIT

  • Solr MCP

    allenday
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    quality
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    maintenance
    A Python server that enables AI assistants to perform hybrid search queries against Apache Solr indexes through the Model Context Protocol, combining keyword precision with vector-based semantic understanding.
    20
    MIT

  • Memory Engineering MCP

    romiluz13
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    quality
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    Provides persistent memory and semantic code understanding for AI assistants using MongoDB Atlas Vector Search. Enables intelligent code search, memory management, and pattern detection across codebases with complete semantic context preservation.
    12
    13
    MIT

  • Headless Codebase Indexer

    y1hanh
    F
    license
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    quality
    D
    maintenance
    A minimalist indexing tool that provides AI agents with semantic search and structural AST parsing for deep codebase understanding. It enables autonomous agents to navigate large codebases predictably using vector embeddings and native language server capabilities like definition and reference tracking.