{"id":26950292,"url":"https://github.com/precise-goals/evolvex","last_synced_at":"2025-07-02T06:36:00.629Z","repository":{"id":285833711,"uuid":"948088173","full_name":"Precise-Goals/evolvex","owner":"Precise-Goals","description":"Evolvex is an AI-powered multi-agent system that automates software development workflows. 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By integrating LangChain, AutoGen, Codium API, and Retrieval-Augmented Generation (RAG), it automates tasks like code completion, bug detection, documentation, and intelligent knowledge retrieval.\n\n## Features\n- **Code Completion**: Uses Codium API and Together AI LLM for accurate code suggestions.\n- **Bug Detection \u0026 Fixing**: Identifies and suggests fixes for bugs using Codium API.\n- **Automated Documentation**: Generates docstrings, README files, and API documentation.\n- **Retrieval-Augmented Generation (RAG)**: Retrieves relevant information from knowledge bases.\n- **Multi-Agent Collaboration**: Implements AutoGen for AI-driven task delegation.\n\n## Tech Stack\n- **Language Models**: Together AI (Mixtral-8x7B), Codium API, LangChain\n- **Frameworks**: LangChain, AutoGen\n- **Storage \u0026 Retrieval**: ChromaDB, LangChain Retriever\n- **Development Tools**: Python, FastAPI, OpenAI-compatible models\n\n## Modules \u0026 Components\n### 1. RAG System\n- Handles document loading, retrieval, and context compression.\n- Uses ChromaDB for efficient indexing and retrieval.\n- Employs LLMChain for intelligent query processing.\n\n### 2. Code Assistance Agents\n- **Code Completion Agent**: Provides intelligent code suggestions.\n- **Bug Detection \u0026 Fixing Agent**: Identifies issues and suggests fixes.\n- **Testing Generation Agent**: Generates unit tests and improves test coverage.\n\n### 3. Documentation Agents\n- **Docstring Generator**: Extracts and generates detailed docstrings.\n- **README Generator**: Produces structured README files.\n\n### 4. Multi-Agent Collaboration\n- **Manager Agent**: Coordinates AI agents.\n- **Code Completion Agent**: Enhances code accuracy.\n- **Bug Detection Agent**: Automates debugging.\n- **Documentation Agent**: Creates documentation.\n- **RAG Agent**: Retrieves and processes information.\n\n## Contributors\n- **Sarthak Patil**  \n- **Gaurav Chaudhari**  \n- **Prathamesh Kolhe**  \n- **Anushka Singh**  \n\n## Contact\n📧 **Emails:**  \n- sarthakpatil.ug@gmail.com  \n- gauravchau2412@gmail.com  \n- prathameshkolhe6099@gmail.com  \n- singhanushkaofficial04@gmail.com  \n\n📌 **GitHub**: [Precise-Goals](https://github.com/Precise-Goals)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprecise-goals%2Fevolvex","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprecise-goals%2Fevolvex","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprecise-goals%2Fevolvex/lists"}