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"Techniques and Strategies to Improve Long-Term Memory" matching MCP servers:

  • Oblique Strategies MCP Server

    lmorchard
    F
    license
    A
    quality
    D
    maintenance
    Provides access to Brian Eno and Peter Schmidt's Oblique Strategies card deck to help users overcome creative blocks through lateral thinking. It enables searching and retrieving random prompts from various editions, including collections adapted specifically for programmers.
    Last updated
    3
    1

  • memory-mcp

    User75621
    A
    license
    -
    quality
    C
    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

  • Skill-to-MCP

    biocontext-ai
    A
    license
    A
    quality
    C
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
    3
    27
    Apache 2.0

  • repo-memory

    yubinkim444
    A
    license
    A
    quality
    B
    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

  • Memory MCP Server

    cbuntingde
    A
    license
    B
    quality
    -
    maintenance
    Enables agents to maintain persistent memory through three-tiered architecture: short-term session context with TTL, long-term user profiles and preferences, and searchable episodic event history with sentiment analysis. Provides comprehensive memory management for personalized AI interactions.
    Last updated
    7

  • n2n-memory

    n2ns
    A
    license
    C
    quality
    B
    maintenance
    Persists AI's cognitive fragments as a knowledge graph within each project directory, enabling project-level memory isolation and sharing via Git.
    Last updated
    12
    8
    4
    MIT

  • api-to-mcp

    sgaluza
    A
    license
    -
    quality
    D
    maintenance
    Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.
    Last updated
    24
    MIT