VibeCoding
Automates web search and report generation using a LangGraph-based multi-agent system.
Acerca de
This project implements an advanced AI multi-agent system designed to automate the entire report generation process, from real-time web and vector database research to intelligent planning and professional report writing. Leveraging LangGraph and the Agent-to-Agent (A2A) protocol, it orchestrates specialized AI agents to collaborate seamlessly, delivering high-quality, comprehensive reports based on user requests, making complex research tasks efficient and accurate.
Características Principales
- Vector Database Document Search with PostgreSQL pgvector
- 4 GitHub stars
- Real-time Web Search via Tavily API
- AI-powered Automatic Research Planning and Structure Design
- Automated Professional Report Generation
- Agent-to-Agent (A2A) Communication via Google ADK
Casos de Uso
- Automating comprehensive research and report writing
- Streamlining information gathering for complex topics and projects
- Generating analytical reports from diverse online and document sources