Sequential Thinking Multi-Agent System

Orchestrates a team of specialized agents working in parallel to break down complex problems through structured thinking steps, enabling multi-disciplinary analysis with greater depth than single-agent approaches.

Sequential Thinking Multi-Agent System (MAS) implements a coordinated team of specialized AI agents to break down complex problems through structured thinking steps. Built by Frad LEE using the Agno framework and DeepSeek models, this server orchestrates a Team Coordinator, Strategic Planner, Researcher (with Exa search capabilities), Core Analyzer, Quality Controller, and Integration Specialist working in parallel to process thoughts with greater depth than single-agent approaches. The implementation supports revision steps, branching analysis paths, and provides detailed guidance throughout the thinking process, making it particularly valuable for multi-disciplinary problem solving requiring diverse expertise and comprehensive analysis.