Open Source Agent Orchestration Tools
Discover 47 open source Agent Orchestration repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Agent Orchestration projects here are most often combined with AI Agents, Python and Developer Tools. Last updated October 4, 2026.
47 repositories · updated October 4, 2026
rimz: Coordinate Coding Agents in tmux and Zellij
RimZ adds a live control dashboard for coding agents running in tmux or Zellij. It helps developers monitor, message, and automate multiple agents from one terminal workspace, with support for local and remote sessions.
declarative-agents: Define Tool-Augmented Agents in YAML
Declarative Agents is a Go runtime that interprets YAML profiles to run tool-augmented LLM agents. It suits teams that want to change agent workflows through configuration rather than rebuilding the runtime.
OpenWorkProof: Verify and Accept AI Agent Work
OpenWorkProof is an open protocol for authorizing AI agent tasks and recording verifiable execution evidence. It helps teams independently review whether work stayed within scope, then keep verification separate from human acceptance.
Orkas: Coordinate AI Agent Teams from a Desktop App
Orkas is a local-first desktop app for directing a Commander and specialist AI agents from one chat. It suits people who want to coordinate research, document work, and coding tools locally, using their own model keys.
aidevops: Coordinate AI Agents Across Development and Operations
An OpenCode plugin and shell-based framework for coordinating AI agents across software delivery, DevOps, and business workflows. It combines specialist guidance with isolated Git work, verification, and automation for teams seeking a more durable alternative to one-off AI chats.
awesome-harness-engineering: Find AI Agent Harness Resources
A curated directory of articles, tools, patterns, and templates for designing reliable AI agent harnesses. Use it to explore topics from context management and tool design to memory, orchestration, security, and evaluation.
ralph-orchestrator: Coordinate AI Agents in Task-Completion Loops
Ralph Orchestrator runs AI coding agents in structured loops, using specialized roles and quality gates to keep work moving toward completion. It suits developers who want repeatable, multi-step workflows across several agent CLIs.
envharness: Adapt Environments for Agent Learning
EnvHarness wraps frozen interactive environments with composable layers that can target an AI agent’s weaknesses without changing benchmark code or grading. It is for researchers building and evaluating agent-training workflows across different environments.
TrueForge: Run LLM Agents with a Managed Runtime
TrueForge provides the runtime around an LLM agent, including tools, sessions, sandboxing, approvals, and a chat interface. It suits developers who want to build and operate agents without assembling these components themselves.
cli-agent-orchestrator: Coordinate AI Coding Agents
CLI Agent Orchestrator runs AI coding CLIs in isolated tmux sessions and gives a supervisor tools to delegate work to specialist agents. It suits developers who want to coordinate parallel or sequential coding tasks while keeping each agent’s native CLI.
OpenHands: Manage Coding Agents and Automations
OpenHands Agent Canvas is a self-hosted control center for running coding agents and automations across local, remote, and cloud backends. It suits developers and teams that want one place to manage agent conversations and recurring workflows.
ruflo: Coordinate AI Agents and Autonomous Workflows
Ruflo is a TypeScript agent harness for Claude Code and Codex. It adds coordinated agent teams, persistent memory, workflow automation, and MCP integrations for developers building multi-agent systems.