The recursive internet scanner for hackers. 🧡

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

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

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

Bloodhound Reporting for Blue and Purple Teams

Neo4j GraphRAG for Python

An Object Graph Mapper (OGM) for the Neo4j graph database.

Neo4j Bolt driver for Python

Neo4j Labs Model Context Protocol servers

爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

AI agents with graph based reasoning memory, scaffolded in seconds

Automated network asset, email, and social media profile discovery and cataloguing.

Excel-to-Neo4j knowledge graph examples: legacy py2neo v3 plus modern Neo4j GraphRAG/vector search.

Uses Sharphound, Bloodhound and Neo4j to produce an actionable list of attack paths for targeted remediation.

Neo4j Movies Example application with Flask backend using the neo4j-python-driver

A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.

五星大厨:全面Multi-Agent 的客服机器人，基于langraph实现，txt2sql ,txt2cypher, lightrag, 多模态 等