A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.
Lightweight AI agent orchestrator with built-in Architect AI, enabling users to automate tasks by describing them via chat or Claude Code + MCP, with multi-team isolation.
A lightweight Model Context Protocol (MCP) orchestrator designed for efficiency at scale. It features TOON compression (reducing token usage by 30-90%) and Lazy Loading, making it the ideal solution for complex, multi-tool agentic workflows.
Enables collaborative software development through a team of specialized AI agents (Architect, Developer, Reviewer, Tester) communicating via the Model Context Protocol, with tools for file management, task tracking, and code review.
A robust, lightweight Model Context Protocol (MCP) server designed to empower your AI Agents with context-awareness, safe execution sandboxes, and dedicated thought logs.
