AI & Memory MCP Servers

Persistent codebase knowledge graph. Survives session restarts and context compaction.

A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and technical documentation in IDEs like Cursor and Windsurf

Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling

Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.

Enhanced graph-based memory with a focus on AI role-play and story generation

Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.

Reasoning-based RAG system for chatting with long PDFs. Supports local and online files.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

Use GitHub Gists to manage and access your personal knowledge, daily notes, and reusable prompts. This acts as a companion to https://gistpad.dev and the GistPad VS Code extension.

An MCP server built on markmap that converts **Markdown** to interactive **mind maps**. Supports multi-format exports (PNG/JPG/SVG), live browser preview, one-click Markdown copy, and dynamic visualization features.

Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.

Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.

Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.

LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE).

Universal AI Memory - Sync context across Claude, VsCode, Cursor, Continue, Windsurf, Zed & more

A Model Context Protocol server for use with Tauri v2 applications

Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs.

...

Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and exposes your activity history to AI assistants via MCP with semantic search, timeline browsing, and event detail retrieval.

Local-first documentation for AI agents. Offline, instant, private doc retrieval.

Retrieve context from your Ragie (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.

Model Context Protocol (MCP) server for AI-assisted development of CAP applications.

Persistent memory + git snapshots for Claude Code. Never lose context or code.

Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13 MCP tools, runs locally, works with any MCP-compatible model. Backed by 4 published research papers.

A Model Context Protocol (MCP) server for Django applications, inspired by Laravel Boost

Map text into knowledge graphs to create a structured representation of conceptual relations and t…

Official Miro MCP server - Supports context to code and creating diagrams, docs, and data tables.

MCP (Model Context Protocol) server for Appwrite

A Model Context Protocol (MCP) server for container runtimes (Podman and Docker)

Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.

Persistent memory for AI coding assistants with hybrid search (FTS5 + vector embeddings), session tracking, automatic context hooks, and web viewer. SQLite-based with no daemon process — works with Claude Code, Cursor, Windsurf, and any MCP client.

Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API.

Self-hosted mem0 MCP server for Claude Code with Qdrant vector search, Neo4j knowledge graph, and Ollama embeddings. Zero-config OAT auth, split-model graph routing, session hooks for automatic cross-session memory, and 11 tools. Supports both Anthropic and fully local Ollama setups.

High-quality Rust SDK for Model Context Protocol (MCP) with full TypeScript SDK compatibility

Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.

Persistent memory for AI coding agents with semantic search, auto-capture, cross-session learning, and intelligent forgetting. 12 MCP tools, local-first.

Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.

Graph-vector memory for AI assistants using FalkorDB and Qdrant

A Model Context Protocol server for Sitecore