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"How to Manage AI Memory Effectively" matching MCP servers:

  • ai-memory

    hyxnj666-creator
    A
    license
    -
    quality
    C
    maintenance
    Turn editor chat history (Cursor/Claude Code/Windsurf/Copilot/Codex CLI) into typed Markdown memories + AGENTS.md + Cursor Rules via MCP. Local-first, git-trackable.
    16
    48
    MIT

  • memory-ai-local

    Hsoley1
    F
    license
    -
    quality
    C
    maintenance
    A local-first MCP server that manages developer memory for coding agents, enabling shared project context, permissions, and audit trails across different agents.
    1

  • 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.
    3
    27
    Apache 2.0

  • AI-Collab-Memory

    sodam-ai
    A
    license
    A
    quality
    -
    maintenance
    An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.
    7
    3

  • 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
    5
    1
    MIT

  • @zeph-to/mcp-server

    zeph-to
    A
    license
    A
    quality
    A
    maintenance
    MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.
    11
    527
    Apache 2.0

  • Text-to-GraphQL MCP Server

    Arize-ai
    F
    license
    A
    quality
    D
    maintenance
    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
    5
    24

  • failure-memory

    CongBao
    A
    license
    A
    quality
    A
    maintenance
    Failure Memory provides AI coding agents with a shared local memory of failures, enabling them to record, recall, and learn from mistakes across sessions.
    2
    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.
    18
    MIT

  • AgentKits Memory

    aitytech
    A
    license
    -
    quality
    C
    maintenance
    A local, persistent memory system for AI coding assistants that stores decisions, patterns, and session context via MCP tools. It enables cross-session memory management using SQLite and optional vector search without external dependencies or cloud storage.
    37
    63
    MIT

  • stellar-memory

    duraznito16
    A
    license
    -
    quality
    B
    maintenance
    Provides a persistent memory layer for Stellar and Soroban projects, scanning repositories to create a knowledge graph of contracts, storage, and on-chain state. Exposes this memory to AI agents via MCP, enabling project overview, search, and context recovery.
    1,012
    Apache 2.0

  • click-to-mcp

    Coding-Dev-Tools
    A
    license
    -
    quality
    A
    maintenance
    Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.
    4
    Apache 2.0