Graphify-Labs/graphify
Graphify turns any codebase, including documentation and other files, into a queryable knowledge graph using local AST parsing, without relying on vector stores or embeddings.
Awesome AI Agents › Knowledge Graph Orchestration
TuGraph-family/chat2graph
Chat2Graph is a cutting-edge Graph Native Agentic System designed to innovate at the intersection of graph technology and artificial intelligence. The project leverages a multi-agent architecture to enable advanced reasoning, planning, and knowledge management capabilities. It features a hybrid multi-agent system called One-Active-Many-Passive, which supports complex task decomposition and graph-based planning through a Chain of Agents (CoA) approach. The system incorporates a dual-LLM reasoning machine that mimics fast and slow thinking processes, enhancing decision-making and problem-solving efficiency. The architecture includes a hierarchical memory system that integrates vector and graph knowledge bases, facilitating sophisticated knowledge representation and retrieval. Chat2Graph aims to evolve with features like workflow auto-generation, action recommendation, structured agent role management, and an agent task compiler to streamline operations and improve automation. Tool and system enhancements are also a focus, with a toolkit knowledge graph already implemented and plans for a graph optimizer, rich toolkit integration, unified resource management, and tracing and control capabilities. The project provides a concise intelligent agent SDK, web service interaction, and one-click agent configuration to support ease of use and deployment. The roadmap highlights ongoing development in areas such as multimodal capabilities, production enhancement, and integration with open-source ecosystems, indicating a commitment to expanding functionality and community collaboration. Documentation is comprehensive, covering introduction, quickstart, principles, cookbook, development, and deployment guides. Chat2Graph encourages community involvement through contributions, clear architectural roles, and special interest groups (SIGs). Communication channels include Discord and WeChat, fostering an active developer and user community. Overall, Chat2Graph represents a sophisticated platform for advancing graph-based AI agent systems with a strong emphasis on modularity, scalability, and collaborative development.
https://github.com/TuGraph-family/chat2graph
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