A Multi-Agent framework that enables AI agents to collaborate effectively, helping you build powerful agent teams for solving complex tasks.

Agent Reference Stack for Kubernetes (kars) - an open source stack from Microsoft for running AI agents safely on Kubernetes. Multi-runtime, Foundry-aware, hardened per-agent sandboxes, governed egress, end-to-end encrypted inter-agent mesh.

🤖🕸️ Production-grade multi-agent orchestration framework powered by Pregel BSP. Build sophisticated AI workflows with parallel execution, state management, and observability.

AgentMesh is a visual pipeline builder built on LangGraph + MCP — mix Gemini, OpenAI, and Groq agents per node, and watch execution happen live via real-time event streaming.

Agent Mesh Communication Protocol - Open Source - AMCP implements a revolutionary mesh of agent based on event driven architecture and mobility model inspired by IBM Aglets, enhanced with modern cloud-native patterns to allow agentic at scale

AgentMesh is a Kubernetes-inspired orchestration layer for AI agents: each agent runs as an isolated AgentPod, a Claude-powered LLM acts as the control plane making live scheduling decisions, and agents collaborate peer-to-peer via MCP and A2A delegation — with full state preservation across failures.