AI-powered multi-agent research system that performs iterative, in-depth research by intelligently searching, reading, and synthesizing information from multiple sources. Features supervisor-researcher collaboration, real-time monitoring, and structured report generation with citations.

Research Weaver 🔬

An AI-powered multi-agent research system that conducts comprehensive, iterative research by intelligently searching, reading, and synthesizing information from multiple sources.

简体中文 | English

✨ Features

🤖 Multi-Agent Architecture

• Supervisor Agent: Orchestrates research by creating specialized researcher agents
• Researcher Agents: Focused agents that handle specific research aspects
• Dynamic Agent Creation: Automatically spawns new researchers based on discovered topics

🔍 Intelligent Research Process

• Iterative Search: Continuously refines search queries based on findings
• Multi-Source Integration: Gathers information from various web sources
• Knowledge Gap Detection: Identifies missing information and creates targeted sub-researches
• Citation Management: Tracks and formats all sources with proper citations

💡 Advanced Capabilities

• LLM-Powered Analysis: Uses AI to understand context and synthesize information
• Memory Management: Persistent storage for research sessions with caching
• Real-time Progress Tracking: Visual interface shows live research progress
• Structured Reports: Generates comprehensive reports with clear sections and citations

🎯 Key Differentiators

• Truly Autonomous: Agents make independent decisions about what to research next
• Context-Aware: Each agent understands the overall research goal and its specific role
• Scalable: Can handle complex topics by breaking them into manageable sub-researches
• Transparent: Full visibility into the research process and decision-making

🚀 Quick Start

Prerequisites