知识与记忆 MCP 服务器

Up-to-date code docs for any prompt

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory

Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG…

Local-first knowledge management with bi-directional LLM sync via Markdown files.

Self-hosted plain-markdown knowledge base with a built-in MCP server. Lets Claude Desktop, Cursor, and any MCP client search, read,…

Universal memory service providing semantic search, persistent storage, and autonomous memory consolidation

Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault…

Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph…

Query and summarize your chat messages with AI prompts.

deja-vu: local memory over the session histories of thirty-four coding agents.

Local memory daemon for any MCP-over-stdio client with three-tier storage (episodic/semantic/procedural). Own SQLite + hnswlib store…

Coding agent memory — one local MCP server for every project. Warns before repeating failed fixes.

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

Local-first memory for AI agents that reaches backward to find a failure's root cause.

AI-native ontology engineering with 39 tools and 5 prompts for OWL/RDF/SPARQL. Validate, query, diff, lint, version, and govern knowledge…

Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.

Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option

Context Assurance for AI agents: context engineering, AI cost optimization, verification.

Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki.

Easy-to-setup local RAG server with minimal configuration

Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve…

Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.

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

Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.

Open, local-first engram memory for AI agents: read, correct, delete; shared over MCP.

Mine your local AI coding session logs into a profile your agent loads before every task.

Local-first long-term memory for AI agents, with byte-recomputable signed verification receipts.

Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.

An MCP server built on [markmap](https://github.com/markmap/markmap) that converts **Markdown** to interactive **mind maps**. Supports…

Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query expansion,…

Persistent memory for AI agents. Memories decay with time and strengthen on recall.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants…

Persistent, consensus-validated institutional memory for AI agents. Runs locally.

Persistent memory for AI agents — 55 MCP tools, spreading activation recall.

Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.

Persistent memory, coordination, and learning for AI agents. Local-first, 25 MCP tools.

Use GitHub Gists to manage and access your personal knowledge, daily notes, and reusable prompts. This acts as a companion to…

Long-term memory for AI agents: semantic facts, episodic events, and procedural workflows

Automate Google NotebookLM — Q&A with citations, audio, video, content generation

Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning.…

AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and…

A connector for LLMs to work with collections and sources on your Zotero Cloud

Local-first AI identity for MCP coding tools. Lessons, decisions, and context you control.

Git-backed org memory for AI agents — hybrid search, tables, files & a URI graph over MCP.

Session memory for coding agents: local-first recall, drift detection, on-device inference.

LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval…

Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.

Offline MCP access to ZIM knowledge archives — Wikipedia, Wiktionary, Stack Exchange, Kiwix.

MCP server enabling AI clients to interact with any MediaWiki wiki through standard tools

Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and…

Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.

Self-hosted mem0 MCP server for Claude Code with Qdrant vector search, Neo4j knowledge graph, and Ollama embeddings. Zero-config OAT auth,…

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

Persistent memory for Claude Code, Cursor and Codex. Facts retire when they change.

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

Persistent memory + FTS5 search MCP server for Claude Code conversation history.

Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA…

Self-improving learning engine for Claude Code. Extracts signals from every session (corrections, successes, confusion), runs periodic…