KiwiQ

Ouroboros is a spec-driven multi-agent framework that shifts from traditional prompting to specification-driven development, supporting multi-agent collaboration, MCP tool integration, and automated workflow orchestration for building high-quality agent systems.

A multi-agent orchestration system inspired by ancient governance structures, featuring 9 specialized AI agents with a real-time dashboard, model configuration, and full audit trails for complex multi-agent collaboration scenarios.

A self-organizing multi-agent collaboration platform where multiple AI agents work as an autonomous team, handling planning, executing, reviewing, and patrolling tasks with zero human intervention.

An open-source multi-agent simulation platform where multiple LLM-powered agents collaborate on complex tasks in shared environments, with customizable roles, memory systems, and environment interaction for studying multi-agent collaboration.