microsoft/autogen
AutoGen is a Microsoft-developed framework for building multi-agent AI applications that operate autonomously or with human collaboration, featuring layered APIs, developer tools, and community support.
Awesome AI Agents › Knowledge Graph Orchestration
Graphify-Labs/graphify
Graphify is an open-source tool that transforms an entire codebase, along with its associated documentation, SQL schemas, configurations, and PDF files, into a queryable knowledge graph. It functions as a skill for various AI coding assistants like Claude Code, Cursor, Codex, and Gemini CLI. The core of Graphify's functionality relies on local, deterministic Abstract Syntax Tree (AST) parsing using `tree-sitter`. This ensures that code analysis is performed entirely on the user's machine, without sending code to external LLMs, thereby maintaining privacy and security. Unlike RAG systems or other knowledge graph solutions, Graphify explicitly avoids vector stores and embeddings, opting instead for a direct, traversable graph structure where every connection (edge) is clearly explained as either `EXTRACTED` (explicitly present in the source) or `INFERRED` (resolved by Graphify). Upon execution, Graphify generates three key outputs: an interactive `graph.html` for visual exploration, a `GRAPH_REPORT.md` summarizing key concepts and connections, and a `graph.json` representing the full knowledge graph for programmatic querying. This allows developers to query their codebase semantically, identify relationships between different components, and gain insights that traditional grep or search tools cannot provide. It supports explanations of concepts, tracing paths between elements, and understanding complex dependencies across various file types and programming languages.
https://github.com/Graphify-Labs/graphify
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