ruvnet/claude-flow
Claude-Flow is an enterprise-grade AI orchestration platform that enables deployment and coordination of intelligent multi-agent swarms and autonomous workflows for building advanced conversational AI systems.
Awesome AI Agents › AI Agent Orchestration
23blocks-OS/ai-maestro
AI Maestro is an open-source orchestration layer for running large numbers of terminal-based AI agents from a single dashboard. It is agent-agnostic: the project states it works with Claude Code, Codex, Aider, Cursor, OpenClaw, Hermes, Droid or any other agent that runs in a terminal, so the same control plane can supervise a mixed fleet. Agents are created through a guided wizard in the web UI and organised by a naming convention that turns names such as project-backend-api into a three-level colour-coded tree. Four deployment modes are supported: local tmux sessions, Docker containers, dedicated AWS EC2 instances and serverless AWS ECS Fargate tasks, and the service auto-discovers existing tmux sessions, containers, cloud deployments and standalone agents rather than requiring manual registration. A peer mesh network lets several computers join without a central server, so agents running on a laptop, a spare Mac and a cloud host all appear in one view; the stated intent is to route work to the machine best suited to it, for example macOS for iOS builds and Linux for Docker. The Agent Messaging Protocol (AMP) gives agents email-like direct communication with priority levels, message types, cryptographic signatures and push notifications, which removes the need for a human to copy context between terminals. A skills system exposes shared capabilities such as memory search, code-graph queries and messaging, distributed as a Claude Code plugin with several skills and a set of CLI scripts. Installation is a single shell script that provisions the dashboard, the service and the messaging system; the dashboard listens on localhost port 23000. It runs on macOS, Linux and Windows through WSL2, requires Node.js 18 or newer plus tmux, and is MIT licensed. It targets developers who coordinate fleets of coding agents.
https://github.com/23blocks-OS/ai-maestro
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