← Back to List
⚠
Notice:This resource is provided by a third-party author. Please review the code with AI tools or manually before use to ensure security and compatibility.
Pythonneo4j-labs/create-context-graph

create-context-graph

AI agents with graph based reasoning memory, scaffolded in seconds

68.7/100
★ 501Forks: 55
View on GitHub →Homepage →
Loading report...

Similar Projects

cognee

91

Knowledge Engine for AI Agent Memory in 6 lines of code

Python★ 16.5K

memU

80

Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot).

Python★ 13.4K

all-in-rag

59

🔍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/

Python★ 6.4K

Yuxi

85

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 + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

Python★ 4.9K
← Back to List