Deep Research
Conducts comprehensive research using a multi-agent architecture, integrating OpenAI API-compatible large language models and external MCP tools.
소개
Deep Research is a highly scalable tool built on a multi-agent architecture designed for comprehensive research tasks. It orchestrates a Planner agent to break down complex tasks into subtasks, which are then distributed to multiple Worker agents for parallel execution. The results are aggregated and iterated upon until the research objectives are met, culminating in a final, detailed report for the user. Its flexible design allows seamless integration with any OpenAI API-compatible large language models and external MCP tools to enhance its capabilities, offering both HTTP and MCP interfaces for easy integration.
주요 기능
- OpenAI API compatibility for various LLMs, without requiring function call capabilities
- Universal MCP extension for integrating diverse stdio, streamable, or SSE tools
- Simple and intuitive HTTP and MCP interfaces for easy integration
- High-performance asynchronous processing based on FastAPI
- Multi-agent system for complex task orchestration
- 1 GitHub stars
사용 사례
- Automating in-depth research and report generation on any specified topic
- Providing a multi-agent research backend for other MCP clients and applications
- Analyzing complex trends, such as market behavior or economic impacts, with structured output
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