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.

This project is an MCP server that provides WHOIS query services, allowing AI agents to directly query the registration information of domain names, IPs, top-level domains, and autonomous systems without manually operating a browser.

An MCP server designed for AI programming agents that provides a structured thinking protocol to help agents recover autonomously when facing difficulties without human intervention.

PumpClaw is a project that provides revenue infrastructure for autonomous AI agents, allowing users to deploy ERC - 20 tokens on the Base chain at zero cost and create Uniswap V4 liquidity pools. Creators can get an 80% share of transaction fees.

Sugar is an autonomous execution layer designed for AI programming agents, providing task queue management, 24/7 continuous operation, and a persistent memory system, supporting integration with mainstream AI coding tools such as Claude Code and OpenCode.

The MCP Dual Cycle Reasoner is a metacognitive enhancement tool designed for autonomous AI agents. Through a dual-cycle framework (sentinel monitoring and arbiter management), it enables anomaly detection and experience learning to enhance the self-awareness and reliability of agents.

Magnet is a programmable action agent platform built on the Base chain, aiming to enable AI agents to autonomously execute tasks and handle on - chain transactions, providing infrastructure support for Claude AI and others.

Dead Internet is a high-fidelity, sovereign simulated modern Internet ecosystem built for AI agents. It provides a complete microservice architecture (including identity authentication, social, financial, search, cloud deployment, etc.), allowing AI agents to live, interact, and operate autonomously as first-class citizens, and supports external agent access through the Model Context Protocol (MCP).

Autonomous Lab is an MCP server that can transform any senior - novice workflow into an autonomous loop. AI agents play different roles (such as PI and trainee) in a design - execute - review loop, while humans act as decision - making editors. No additional API keys are required, and it can run using existing coding tool subscriptions. It supports multi - agent mode, skill container configuration, and 24 - hour continuous sessions.

Agent Polis is an impact preview system for AI agent actions, providing a function similar to 'Terraform plan'. It analyzes the impact of autonomous AI agents before they execute operations, displays a difference preview, and requires manual approval before execution, aiming to prevent AI agents from performing dangerous operations.

An AI autonomous data management system that provides persistent data management capabilities for AI agents