Chat2graph
Chat2Graph: Graph Native Agentic System.
Install / Use
/learn @TuGraph-family/Chat2graphREADME
🌐️ English | 中文
<p align="center"> <img src="doc/asset/image/head.png" width=800/> </p>Chat2Graph is a Graph Native Agentic System.
<video controls src="https://github.com/user-attachments/assets/7c859d37-cd1e-431f-8e81-8459bc605879" style="max-width: 100%;"> Your browser does not support the video tag. </video>Using agents as a blueprint, and exploring the technological innovation of "Graph + AI" is our value proposition.
Documentation
- Introduction: Learn about the technical background of Chat2Graph.
- Quickstart: Install and experience Chat2Graph from source code.
- Principle: Introduction to Chat2Graph's architecture design and implementation principles.
- Cookbook: Introduction to Chat2Graph's features and operations.
- Development: Chat2Graph SDK design and system integration guide.
- Deployment: Chat2Graph system operations guide.
Contributing
Chat2Graph currently only provides basic agent system capabilities. We look forward to your participation in co-building graph native agentic system.
This is our technical roadmap:
- Reasoning && Planning
- [x] One-Active-Many-Passive hybrid multi-agent architecture.
- [x] Dual-LLM reasoning machine combining fast & slow thinking.
- [x] Chain of agents (CoA) oriented task decomposition and graph planner.
- [ ] Workflow auto-generation.
- [ ] Action recommendation in operator.
- [ ] Structured agent role management.
- [ ] Agent task compiler.
- Memory && Knowledge
- [x] Hierarchical memory system.
- [x] Vector and graph knowledge base.
- [ ] Knowledge refinement mechanism.
- [ ] Environment management.
- Tool && System
- [x] Toolkit knowledge graph.
- [ ] Toolkit graph optimizer.
- [ ] Rich toolkit/MCP integration.
- [ ] Unified resource manager.
- [ ] Tracing and control capabilities.
- [ ] Benchmark.
- Product && Ecosystem
- [x] Concise intelligent agent SDK.
- [x] Web Service and interaction.
- [x] One-click configuration of agents.
- [ ] Multimodal capabilities.
- [ ] Production enhancement.
- [ ] Integration with open-source ecosystems.
You can reference Contributing document and submit GitHub Issues/PRs to provide feedback and suggest improvements for Chat2Graph.
TuGraph establishes a clear Architecture and Roles for the community, and will invite outstanding contributors to join SIGs.
Contact
You can contact with us directly through TuGraph Discord and WeChat group provided below.
- Discord:https://discord.gg/KBCFbNFj
- WeChat:

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