DeepResearch Multi-Agent Tool

Example Use Cases

• 1

  Perform complex research tasks by decomposing them into subtasks and aggregating results.

• 2

  Integrate various MCP tools to extend their capabilities in research and data gathering.

• 3

  That require a high-performance asynchronous system with HTTP and MCP interfaces for scalable research workflows.

Description

DeepResearch is a highly scalable research system built on a multi-agent architecture that supports any LLM compatible with the OpenAI API and arbitrary MCP tools integration. It provides both HTTP and MCP interfaces with clean APIs, enabling easy integration and high concurrency processing via FastAPI. The system orchestrates planner, worker, and reporter agents to analyze tasks, execute subtasks, and generate comprehensive research reports.