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"Building a solid memory base for AI development" matching MCP servers:

  • ai-memory

    alphaonedev
    A
    license
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    quality
    A
    maintenance
    Persistent memory for any AI assistant. Zero token cost until recall. Stores memories in local SQLite, ranks by 6-factor scoring, returns results 79% smaller than JSON. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, and any MCP client.
    Last updated
    36
    Apache 2.0

  • AI Memory MCP

    pateljeel123
    A
    license
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    quality
    C
    maintenance
    A persistent, searchable memory layer for AI assistants, exposed as an MCP server. It supports CRUD, namespaces, hybrid ranked search, relationships, chat-context assembly, import/export, and optional LLM-powered auto-extraction.
    Last updated
    13
    MIT

  • ai-memory-mcp

    zhanpu89
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    license
    A
    quality
    C
    maintenance
    Provides persistent session memory for AI assistants, enabling them to store, search, and retrieve conversation summaries across sessions via the Model Context Protocol.
    Last updated
    10
    MIT

  • MCP AI Memory

    scanadi
    A
    license
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    quality
    C
    maintenance
    Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
    Last updated
    31
    48
    MIT

  • Munin AI Memory

    3d-era
    F
    license
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    quality
    A
    maintenance
    Munin is a high-performance, pragmatic memory layer for AI agents (Cursor, Claude Code, OpenClaw, Gemini CLI,...). Unlike other solutions, Munin focuses on developer productivity with: * Multi-Project Support: Isolate memories into separate "brains" (Context Cores). * GraphRAG: Automatically builds a knowledge graph from your context. * Sub-200ms Search: Blazing fast Hybrid & Semantic
    Last updated
    3
  • Memstate AI - Agent Memory System by memstate-ai

    Memstate AI - Agent Memoryofficial

    memstate-ai
    A
    license
    A
    quality
    D
    maintenance
    Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.
    Last updated
    7
    20
    5
    Apache 2.0

  • Memory-MCP

    wb200
    A
    license
    A
    quality
    D
    maintenance
    Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.
    Last updated
    8
    MIT

  • celiums-memory

    terrizoaguimor
    A
    license
    A
    quality
    B
    maintenance
    Cognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.
    Last updated
    26
    18
    Apache 2.0

  • lean-memory

    Wuesteon
    A
    license
    A
    quality
    A
    maintenance
    Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.
    Last updated
    16
    3
    47
    Apache 2.0

  • mcp-memory

    oneKn8
    A
    license
    A
    quality
    D
    maintenance
    Provides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.
    Last updated
    4
    1
    MIT