multiagents-thinking

multiagents-thinking

2

This project is a Multi-Component Protocol server aimed at solving complex tasks through parallel consideration and execution by multiple specialized agents. It employs diverse problem-solving strategies and integrates various approaches to provide deep and multifaceted analysis using HuggingFace's smolagents library and FastMCP.

Multi-Agent Thinking MCP Server

  • Aims to consider and execute complex tasks from multiple perspectives and approaches in parallel using a Multi-Component Protocol server.
  • Generates multiple specialist agents internally to divide and execute tasks based on their expertise.
  • Based on HuggingFace's smolagents library and FastMCP.

Main Features

  • Multi-Agent Thinking:

    • Auto-generates multiple perspectives and approaches from a single task description.
    • Executes specialist agents in parallel who specialize in various approaches.
    • Supports diverse problem-solving strategies such as perspective division, task division, and more.
    • Integrates reports from specialists to present final conclusions and solutions.
  • MCP Server:

    • Functions as an MCP server using fastmcp.
    • Can be called as a multiagent.multiagent_thinking tool from MCP clients like Cursor IDE.

Requirements

  • Python 3.11 or later
  • uv package manager
  • APIs: OpenAI API Key, HuggingFace Token