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

  • 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.
    Last updated
    7
    3

  • FastMCP Development Assistant

    kongyo2
    -
    license
    A
    quality
    -
    maintenance
    Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.
    Last updated
    6

  • MCP Base Server

    yone-k
    A
    license
    -
    quality
    D
    maintenance
    A TypeScript-based template for rapidly developing MCP servers with modular tool architecture, built-in validation using Zod schemas, and comprehensive error handling.
    Last updated
    2
    MIT
  • Lark Base MCP Server by Lark-Base-Team

    Lark Base MCP Serverofficial

    Lark-Base-Team
    F
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol server that provides LLMs with read and write access to Feishu Base (飞书多维表格) databases, enabling them to inspect schemas and manipulate records through natural language.
    Last updated
    28
    9

  • Base Converter MCP

    vinkius-labs
    F
    license
    -
    quality
    C
    maintenance
    An MCP server providing deterministic base conversions (binary, hex, octal, decimal, base64) for AI agents, eliminating hallucination risks in low-level data processing.
    Last updated
    4
    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
    Last updated
    5
    1
    MIT

  • ctx-memory

    GhadiSaab
    A
    license
    B
    quality
    A
    maintenance
    A fully local persistent memory layer for LLM coding agents (Claude Code, Codex, Gemini CLI, OpenCode). A shell wrapper intercepts tool invocations, fires hooks on every tool call, then runs a 3-layer pipeline (extract → compress to ≤500-token digest → merge into project memory doc) at session end. The next session gets prior context injected automatically.
    Last updated
    6
    12
    MIT

  • basic-memory

    basicmachines-co
    A
    license
    B
    quality
    B
    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
    3,515
    AGPL 3.0

  • 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