Think MCP is a project that implements an MCP server, providing the 'think' tool to support AI agents in performing structured reasoning in complex tasks, inspired by Anthropic's research. This tool helps AI process information, backtrack, or adhere to strategies by recording the thinking process, and is suitable for scenarios such as tool output analysis, policy-intensive environments, and sequential decision-making.

Archon is an intelligent system for autonomously constructing and optimizing AI agents. It demonstrates key principles of modern AI through iterative development, including agent reasoning, domain knowledge integration, and scalable architecture. The current version V4 provides a comprehensive Streamlit interface, supports Docker deployment, and integrates with MCP services for seamless docking of the AI IDE.

The MCP Thought Server is a service that provides advanced thinking tools for AI agents, enhancing reasoning, planning, and iterative optimization capabilities through the Model Context Protocol (MCP). It includes tools such as structured thinking, iterative drafting, and integrated thinking, supports SQLite persistence and an advanced confidence scoring system, and can configure environment variables to meet different needs.

An intelligent e-commerce dialogue agent system based on reinforcement learning, integrating ontology reasoning, business toolchains, dialogue memory, and a Gradio interface. It realizes closed-loop learning from data to training and then to deployment through the Stable Baselines3 PPO algorithm, and can autonomously optimize the decision-making strategy of the shopping assistant.

Sutra is an MCP server that provides a cognitive tool library, memory structure, and multi - agent mode for LLMs, enhancing their reasoning, memory, and orchestration capabilities.

This project provides an intelligent planning and goal execution agent system based on ReasoningBank closed-loop learning. It supports dynamic planning, adaptive replanning, and continuous learning and improvement, and is suitable for complex multi-step task deployment scenarios

This project provides a series of MCP servers and dedicated AI agents to extend Claude's capabilities, including package management, knowledge graphs, reasoning engines, and integration capabilities with multiple platforms.

An AI software architect server based on the MCP protocol that can analyze codebases to generate product requirement documents (PRDs) and provide reasoning assistance for complex coding tasks. It uses a multi-model architecture and intelligent agent design.