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by troyhantech • Uncategorized
A scalable deep research tool using multi-agent architecture with support for arbitrary LLM and MCP tool integration.
Perform complex research tasks by decomposing them into subtasks and aggregating results.
Integrate various MCP tools to extend their capabilities in research and data gathering.
That require a high-performance asynchronous system with HTTP and MCP interfaces for scalable research workflows.
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.
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
Extract content from URLs. Returns raw page content in markdown or text format.
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
Map a website's structure. Returns a list of URLs found starting from the base URL.
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources, including web pages, documents, and other resources, to answer a question or complete a task. Returns a detailed response based on the research findings. Rate limit: 20 requests per minute.
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