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"Understanding how memory is stored or memory storage methods" matching MCP servers:

  • repo-memory

    yubinkim444
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    license
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    maintenance
    A different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_rep
    Last updated
    5
    1
    MIT

  • verifiable-memory

    Mars-proj
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    maintenance
    Memory for AI agents that can't hallucinate — answers only from stored facts with a citation, or honestly abstains. Provable forgetting (GDPR), valid-time, Merkle proofs, deterministic. MCP server, CPU-only, zero dependencies.
    Last updated
    13
    1
    MIT

  • tidbits-memory

    brkhrdt
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    maintenance
    Enables AI agents to record and rank learnings, facts, and methods through a collaborative voting framework. It provides tools for agents to surface the most useful information across sessions using persistent memory storage.
    Last updated
    8
    MIT

  • basic-memory

    basicmachines-co
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    license
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    quality
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    maintenance
    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
    Last updated
    17
    3,511
    AGPL 3.0

  • agent-memory

    khaled1174
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    MCP server providing persistent memory management for AI agents using SQLite and FTS5, enabling storage, full-text search, and recall of memories with namespace isolation.
    Last updated
    1
    MIT

  • Flux Memory

    harsh5i
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    Flux Memory is an MCP server that provides a self-organizing weighted graph memory for AI agents, enabling persistent knowledge storage, retrieval, and feedback-based learning.
    Last updated
    4
    MIT

  • memory-mcp

    User75621
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    maintenance
    An MCP server that stores project memory in Supabase, allowing AI tools to persist context, notes, and decisions across sessions. Enables Claude Code, Codex, and similar assistants to maintain long-term project continuity through persistent memory storage.
    Last updated
    2

  • methods-mcp

    webwebb56
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    quality
    D
    maintenance
    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Last updated
    Apache 2.0

  • Memory Palace

    jeffpierce
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    quality
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    Persistent semantic memory for AI agents, enabling storage, semantic search, knowledge graph connections, and inter-instance messaging across conversations using local models via Ollama.
    Last updated
    43
    MIT

  • Memory MCP

    burgessadrien
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    Provides persistent AI agent memory using a local vector database for long-term semantic storage and short-term session scratchpads. It enables low-latency memory operations including search, storage, and bulk management without external cloud dependencies.
    Last updated

  • Ida-Memory

    L8teNever
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    A shared knowledge graph memory MCP server that multiple AI clients can connect to simultaneously via Streamable HTTP, supporting entity-relation storage and retrieval.
    Last updated

  • Memory-Man

    HelyeFab
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    MCP server that provides persistent long-term memory for Claude Code, enabling storage, search, and retrieval of project knowledge across sessions.
    Last updated

  • fuga-memory

    densuke
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    An MCP server providing long-term memory for LLMs via hybrid search (FTS5 + vector) stored in SQLite, with time-decay scoring and support for multiple AI assistants.
    Last updated
    1

  • mcp-memory

    bobmatnyc
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    A standalone memory service that provides persistent storage for AI assistants via the Model Context Protocol.
    Last updated

  • Memory-MCP

    wb200
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    quality
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    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

  • marm-memory

    Lyellr88
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    MARM MCP provides persistent memory and structured session context beneath any AI tool, so your agents learn, remember, and collaborate across all your workflows.
    Last updated
    14
    320
    Apache 2.0

  • anneal-memory

    phillipclapham
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    maintenance
    Two-layer memory for AI agents. Episodes compress into identity. The only MCP memory server with an immune system. Patterns earn permanence through evidence, false knowledge gets caught and demoted, and stale information fades — so your agent's memory gets smarter over time, not just bigger. Zero dependencies. 5 tools. Works with any MCP client.
    Last updated
    16
    9
    MIT