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Chat2Graph is a Graph Native Agentic System.

Chat2Graph.mp4

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
    • One-Active-Many-Passive hybrid multi-agent architecture.
    • Dual-LLM reasoning machine combining fast & slow thinking.
    • 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
    • Hierarchical memory system.
    • Vector and graph knowledge base.
    • Knowledge refinement mechanism.
    • Environment management.
  • Tool && System
    • Toolkit knowledge graph.
    • Toolkit graph optimizer.
    • Rich toolkit/MCP integration.
    • Unified resource manager.
    • Tracing and control capabilities.
    • Benchmark.
  • Product && Ecosystem
    • Concise intelligent agent SDK.
    • Web Service and interaction.
    • 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.

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Chat2Graph: Graph Native Agentic System.

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  • Python 87.3%
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