multi-agent-systems Tools

OpenRig is a multi-agent harness that orchestrates Claude Code, Codex, and Pi to work together as a coordinated team. It solves the problem of managing complex, long-term coding projects by delegating specialized tasks to different AI agents, tracking their work, and consolidating results. It's designed for developers and teams who need to tackle large-scale software projects that require sustained, collaborative effort over weeks or months.

Strands Harness is an SDK for building, controlling, and deploying production-ready AI agents. It provides a fully assembled, state-of-the-art agent harness with optimized defaults for tools, memory, and context management, so developers can focus on their agent's unique logic instead of infrastructure. It's designed for developers and teams building reliable, controllable AI agents that need to go from prototype to production.

Ruflo is an agent meta-harness for building and orchestrating intelligent multi-agent systems. It solves the complexity of coordinating autonomous AI workflows by providing adaptive memory, RAG integration, and self-learning intelligence. It's designed for developers and teams building advanced conversational AI, autonomous swarms, and complex, coordinated AI applications.

DeepTutor is an open-source agentic framework that provides personalized, adaptive tutoring powered by Large Language Models. It solves the problem of static, one-size-fits-all educational AI by continuously adapting to a learner's evolving knowledge and needs through a hybrid personalization engine. It is designed for developers and researchers building advanced educational tools, as well as institutions seeking to implement AI-driven, personalized learning experiences.