Multi-Graph Agent Memory via MCP - The memory system that understands causality
2,064 MCP servers
Local-first memory for every message you've ever sent. Index your inboxes; recall them from any AI.
A minimal MCP server implementing a persistent thinking workspace tool with structured session naming and search capabilities
Simple memory MCP server for storing and retrieving memories with tags
A portable markdown memory MCP server for any agent. Store durable, searchable memories as git-friendly markdown files.
Stashwise MCP server — query your saved library and wiki from any AI agent (Claude Code, Codex, Cursor, Claude desktop).
MCP server for NotebookLM API with session support and human-like behavior
Powerful, self-contained AI context layer. Combines persistent memory, temporal knowledge graph, and hybrid code search into one local
Model Context Protocol server for Texere's immutable knowledge graph.
MCP server for The Hive Collective. Gives AI agents tools to query the collective knowledge base before answering, contribute learnings
MCP server for Threadline — memory governance for AI agents
Cost-first MCP memory server for coding agents that stop reloading large MEMORY.md, AGENTS.md, and project context files every session
TrustMemory MCP Server — Verified knowledge, trust scores & peer review for AI agents. Works with Claude, Cursor, Windsurf & any
MCP server for TuringWell - Agent-native Q&A for executable fixes
Recall — typed-edge memory MCP server for AI agents (Claude Code / Codex / Cursor / Windsurf). Wrapper that runs the Python MCP server via
MCP server for Conduit — connect any AI agent to your data streams
Official VEM MCP Server for AI agent project memory.
Waroom MCP Server - Access Waroom API through Model Context Protocol
Shared context and coordination MCP hub for AI agents
MCP server for Xache Protocol - collective intelligence, verifiable memory, and reputation for AI agents
Installer/launcher for Yggdrasil — one shared, durable memory for your AI coding agents (MCP, local-first). Bootstraps the Python core via