结合知识库管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain v1 + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 66 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development

Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local Claude Plugin or MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.

Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.

Memento MCP: A Knowledge Graph Memory System for LLMs

A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.

Plugin suite + bundled MCP servers for Claude Code. Full delivery lifecycle: Agile pipeline with multi-model AI review, project bootstrap, documentation generation, codebase audits, performance optimization, community workflows. Includes hex-line (hash-verified editing), hex-graph (code knowledge graph), and hex-ssh (remote SSH) MCP servers.

AI-Driven Automated Red Team Orchestration Framework | AI驱动的自动化红队编排框架 | 101 MCP Tools | 2000+ Payloads | Full ATT&CK Coverage | MCTS Attack Planner | Knowledge Graph | Cross-platform

Tools and agents for interacting with the Data Commons Knowledge Graph using the Model Context Protocol (MCP).

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

An Open Source, Claude Code Like Tool, With RAG + Graph RAG + MCP Integration, and Supports Most LLMs (Incomplete But Functional & Usable)Autonomous LLM agent: ChromaDB semantic RAG + Neo4j knowledge-graph sync + MCP tool-call gateway.

MCP server that gives AI full access to your Logseq or Obsidian knowledge graph. 39 tools for navigation, search, analysis, writing, decisions, journals, flashcards, and whiteboards.

Lightweight graph database with relational, vector, and MCP support, designed to power knowledge and artificial intelligence persistence and retrieval.

Graphiti Model Context Protocol (MCP) Server - An MCP server for knowledge graph management via Graphiti

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Memory management MCP server for AI agents using Neo4j knowledge graphs

A Model Context Protocol (MCP) server that provides conversational interface for the exploration and analysis of RDF (Turtle) based Knowledge Graph in Local File mode or SPARQL Endpoint mode.

44 plug-and-play skills for OpenClaw — self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new behaviors during conversation.

Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cursor, Windsurf, VS Code Copilot. 31 tools, 1116 tests.

A MCP server that is a locally running knowledge base with a hybrid vector and graph RAG engine using LightRAG

Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.

MCP server for semantic search and knowledge graphs in Obsidian vaults using Smart Connections embeddings

Persistent memory system for agentic AI via MCP - remember, recall, forget with semantic search with knowledge graph

Temporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.

An enhanced MCP (Model Context Protocol) server for intelligent memory and task management, designed for AI assistants and development workflows. Features semantic search, automatic task extraction, knowledge graphs, and comprehensive project management.

GoAtlas: The AI-Powered Code Intelligence Engine — A server-side MCP platform that deeply indexes Go/TypeScript codebases via AST parsing, builds a Neo4j knowledge graph, and provides hybrid semantic search (BM25 + pgvector). Features process detection, community clustering, auto-generated docs, and a Gemini AI agent.

Transform your Obsidian vault into a powerful knowledge graph with MCP support