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.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

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

Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.

Architectural intelligence layer for AI coding agents. Structural graph, architecture governance, multi-agent orchestration, vulnerability mapping. 139 commands, 101 MCP tools, 26 languages, 100% local.

The Rust SDK for building coding agents. Tool execution, LLM streaming, graph memory, sub-agent orchestration, MCP — as composable library functions.

A template for building WhatsApp agents using LangGraph and Twilio. This project enables you to deploy AI agents that interact with users via WhatsApp, process messages and images, and invoke custom graph-based agents. It integrates with MCP and runs on the LangGraph Platform.

A graph DB-based MCP memory server for coding agents with intelligent relationship tracking

MCP Agent Graph is a Multi-Agent System built on the principles of Context Engineering

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.

Toolkit for building AI-driven graph apps on Memgraph, with LangChain, MCP, and agent implementations.

🧠 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

Shared roadmap for humans and AI Agents. Visual kanban and graph for you, Skills and MCP server for Agents. Support Claude Code, Codex, Cursor, OpenCode and more!

Gen AI, Langchain v1 AI Agents, MCP, MySQL AI Agent, DeepSeek, GPT-OSS Qwen3 LLAMA Agent, Lang Graph, Ollama, KGPTalkie

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

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. 30 tools, 1121 tests.

Persistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.

High-performance MCP server, code graph engine & evolutionary algorithm platform in Zig. 33 tools: GitHub project management, agent swarm orchestration, iterative review-fix loops, blast radius analysis, and code navigation via Model Context Protocol.

Code intelligence CLI — function-level dependency graph across 11 languages, 30-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

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

👨🏻‍💻 Meet Lumina – my personal AI assistant powered by hybrid RAG with Pinecone vector search and Neo4j graph traversal, Google AI, LangChain, and an MCP server with 30+ tools. Features real-time streaming, conversation branching, and a multi-agent agentic AI pipeline for intelligent, grounded responses with inline citations.

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.

Persistent memory for AI agents. 107 MCP tools for remember, recall, rollback, audit, knowledge graph, eval, cortex, replay, governed actions, threat intel, auto-defense, Runtime v2 agents/missions, and more. Works locally (zero config) or with Novyx Cloud.

Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.