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

  • ai-memory

    alphaonedev
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    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
    7
    Apache 2.0

  • Todo for AI MCP Server

    todo-for-ai
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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
    Last updated
    4
    Apache 2.0

  • MCP AI Memory

    scanadi
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    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
    20
    47
    MIT

  • AI-Collab-Memory

    sodam-ai
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    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
    MIT

  • Korea Building Register MCP

    coding-realtor
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    Provides 12 tools to query South Korean building register data, including title sheets, floor details, and official house prices via the data.go.kr API. It enables users to perform smart building lookups and region code searches using natural language.
    Last updated
    12
    2
    Apache 2.0
    • Apple

  • Building Big Data MCP Server

    handaas
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    Provides comprehensive building and office address information queries for enterprises in China, including fuzzy enterprise search, office address details and statistics, and building information queries to support geographical distribution and occupancy analysis.
    Last updated

  • Munin AI Memory

    3d-era
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    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
    2
  • Lark Base MCP Server by Lark-Base-Team

    Lark Base MCP Serverofficial

    Lark-Base-Team
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    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
    18
    10

  • GEO Analysis for AI SEO

    houtini-ai
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    GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.
    Last updated
    2
    37
    15
    MIT
    • Apple
    • Linux

  • FastMCP Development Assistant

    kongyo2
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    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
    MIT

  • CHOFF-A-MCP (Anamnesis)

    dd-dent
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    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
    Last updated
    1
    MIT

  • Total Development Toolkit MCP

    su-record
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    An all-in-one development toolkit that integrates 10 popular MCPs with comprehensive features for solo developers, supporting frontend, backend, mobile development, database management, testing, and deployment automation.
    Last updated

  • MCP Base Server

    yone-k
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    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
    5
    MIT

  • Base MCP Server

    bioanywhere
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    Enables AI applications to interact with the Base Network blockchain and Coinbase API for onchain operations including wallet management, fund transfers, smart contract deployment, NFT handling, DeFi lending through Morpho vaults, and crypto onramping.
    Last updated
    55
    MIT
    • Apple
    • Linux

  • Base MCP Server

    bioanywhere
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    Enables AI applications to interact with the Base blockchain network and Coinbase API, supporting wallet operations, smart contract deployment, token transfers, NFT management, DeFi lending through Morpho vaults, and onramp functionality.
    Last updated
    55
    MIT
    • Apple
    • Linux

  • Knowledge Base MCP Server

    Leon4s4
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    A mem0-like memory system for GitHub Copilot that provides persistent knowledge storage and retrieval capabilities using local ChromaDB.
    Last updated
    MIT

  • A-Share MCP Server

    firmmaple
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    Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
    Last updated
    23
    MIT
    • Linux
    • Apple

  • MCP Vector Memory

    vertexhub-ai
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    Provides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.
    Last updated
    MIT
  • Memstate AI - Agent Memory System by memstate-ai

    Memstate AI - Agent Memoryofficial

    memstate-ai
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    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
    17
    7
    40
    1
    Apache 2.0

  • No-as-a-Service (NoaaS)

    Koneisto
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    Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
    Last updated
    4
    MIT
    • Apple
    • Linux

  • 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

  • AgentKits Memory

    aitytech
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    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.
    Last updated
    35
    57
    MIT
    • Apple
    • Linux

  • celiums-memory

    terrizoaguimor
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    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
    6
    6
    3
    Apache 2.0

  • anneal-memory

    phillipclapham
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    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
    5
    2
    MIT

  • tidbits-memory

    brkhrdt
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    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