Agent-MCP
ActiveDescription
Agent-MCP is a multi-agent framework built on the Model Context Protocol (MCP) that enables coordinated, efficient AI collaboration with multiple specialized agents working in parallel on different aspects of a project.
Agent-MCP is a multi-agent framework built on the Model Context Protocol (MCP) that enables coordinated, efficient AI collaboration with multiple specialized agents working in parallel on different aspects of a project.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations across providers like OpenAI, Anthropic, and AWS Bedrock.
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.
AG2 (formerly AutoGen) is an open-source AgentOS providing a multi-agent conversation framework with flexible agent orchestration, tool integration, and distributed collaboration for building complex multi-agent systems.
A custom AI agent platform that lets teams build and deploy AI assistants by composing multiple agents, connecting them to internal knowledge bases and tools for trusted AI-powered collaboration in enterprise workflows.