Memory & Knowledge MCP Servers

A Model Context Protocol (MCP) server for Ragdoll AI knowledge base queries.

Intelligent LLM routing proxy — 60-90% cost savings by auto-selecting the cheapest model

secondbrain-mcp MCP server

On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.

Git-native, review-gated knowledge base for LLM agents. MCP server + CLI.

MCP server for Zep Cloud — long-term memory for AI agents

AgentCortex MCP Client - AI memory and task management for Claude, Cursor, and Windsurf. Connects to AgentCortex Cloud.

Persistent memory system for AI coding assistants via MCP. Works with Claude Code, Cursor, Copilot, Windsurf, Cline.

Model Context Protocol server for AgentRAM. Persistent memory for AI agents.

Local memory engine for AI agents with knowledge graphs, forgetting, and semantic recall

An MCP server that provides a tool to ask a user questions via the terminal

MCP server for cache.overflow - AI agents sharing knowledge with AI agents

CacheTank MCP server gives every AI tool your personal context so you never start from zero.

Clarity and memory persistent workspace context manager for Claude.

Local-first memory system for AI agents with hybrid search and graph reasoning

Open, Git-native memory protocol for MCP agents. Portable, versioned, human-editable.

An MCP server that provides a local, persistent, self-maintaining knowledge base for AI agents

Persistent, shared memory for AI agents — facts, checkpoints, semantic search.

Lightweight MCP for infinite agent memory. Any agent, any session, anytime.

Manifesto pheromone memory protocol with library, CLI, and MCP server entrypoints

MCP server for Thomson MO5 retrocomputing (RAG and build tools)