# agent-orchestration

Open-source personal AI agent for messaging apps

OpenClaw is a free, open-source AI agent framework that turns any LLM into an autonomous personal assistant accessible through messaging apps like WhatsApp, Telegram, Discord, and Signal. Running entirely on your local machine via a Node.js gateway, it connects AI models to system tools, browsers, files, and APIs for multi-step task execution with persistent memory across sessions.

Alibaba's agent framework built for the Qwen model family

Qwen-Agent is Alibaba's open-source framework for building AI agents powered by the Qwen model family. It provides tool use, planning, memory, and multi-agent orchestration with native optimization for Qwen models including function calling and code interpretation. Supports RAG, browser automation, and custom tool development with over 15,900 GitHub stars.

AWS open-source SDK for building model-driven AI agents

Strands Agents is an open-source SDK from AWS that takes a model-driven approach to building AI agents. Developers define a prompt, model, and tools, and the LLM handles planning and orchestration autonomously. Supports Amazon Bedrock, Anthropic, OpenAI, Gemini, Ollama, and more. Powers Amazon Q Developer and AWS Glue in production. Available in Python and TypeScript with native MCP support.

Kotlin-native AI agent framework by JetBrains with MCP support

Koog is JetBrains official Kotlin-native framework for building predictable, fault-tolerant AI agents. It provides structured agent workflows with MCP protocol support, type-safe tool definitions, and deterministic execution patterns designed for JVM production environments. As the first production-grade Kotlin agent framework, it fills the gap in a JVM ecosystem dominated by Python-based alternatives and integrates naturally with existing Kotlin and Java backend infrastructure.

Kubernetes-native framework for DevOps AI agents

kagent is a Kubernetes-native AI agent framework developed at Solo.io and accepted into the CNCF sandbox. It provides a structured environment for running DevOps-focused agents directly within Kubernetes clusters, with a dedicated kmcp toolkit for cloud-native operations. Unlike general-purpose agent frameworks, kagent targets platform engineers and SREs who need AI assistance with cluster management, troubleshooting, and infrastructure automation workflows.

Kanban board with isolated workspaces for AI coding agents

Vibe Kanban bridges project management and AI coding agents by providing kanban-style issue tracking with dedicated workspaces where agents like Claude Code, Codex, and Gemini CLI execute tasks. Each workspace gets its own Git branch, terminal, dev server, and preview environment through Git Worktrees isolation. Developers can review diffs, leave inline comments, and manage 10+ parallel coding sessions from a single Rust-powered interface with a local-first SQLite architecture.

Open-source general AI agent framework from the MetaGPT team

OpenManus is an open-source framework for building general-purpose AI agents, developed by core contributors from the MetaGPT community. It provides a modular architecture with planning agents, reactive agents, and tool-calling agents that can execute code, browse the web, search for information, and handle files. Built as the open alternative to Manus AI, it gained over 55,000 GitHub stars and supports multi-agent collaboration with real-time execution feedback.

Human-in-the-loop approval and oversight layer for AI coding agents

HumanLayer is a YC-backed platform that adds human approval, oversight, and escalation workflows to AI coding agents. Instead of letting agents execute autonomously, HumanLayer provides checkpoints where humans review and approve agent actions before they touch real codebases and infrastructure. It bridges the gap between autonomous AI coding and enterprise-safe deployment by making human oversight programmable.

Rust-based agent OS with built-in security, WASM sandboxing, and multi-agent runtime

OpenFang is an open-source agent operating system built in Rust that provides a secure multi-agent runtime with WASM sandboxing, auditability layers, and multi-channel communication. It goes beyond typical orchestration SDKs by treating agent security and operational isolation as first-class concerns, making it suitable for teams deploying agents in environments where trust boundaries and audit trails matter.

Behavioral control layer for reliable customer-facing AI agents

Parlant is an open-source framework that adds behavioral governance to conversational AI agents. Instead of relying on prompt engineering alone, it lets teams define explicit policies, conversation guidelines, and behavioral rules that agents follow predictably across multi-turn interactions. Parlant sits between the LLM and the user-facing interface, enforcing consistent agent behavior for customer support, sales, and service automation use cases.

Multi-agent orchestration layer for OpenAI Codex CLI

Oh My Codex (OMX) transforms OpenAI Codex CLI into a coordinated multi-agent system. It layers workflow orchestration, persistent memory, team-based parallel execution via tmux worktrees, and a live HUD dashboard on top of standard Codex. OMX provides 30+ role-specialized agents and 40+ workflow skills covering planning, execution, verification, TDD, security review, and autonomous research loops.

Transparent AI agent framework with 100+ skills and real-time visibility

Agent Zero is an open-source general-purpose AI agent framework with 16,700+ GitHub stars that uses the computer itself as a tool. Unlike structured orchestration frameworks, it provides full transparency where every thought, action, and tool call is visible and editable in real time, supporting 100+ extensible skills.

Multi-agent software company simulation for automated development

ChatDev simulates an entire virtual software company through multi-agent collaboration where LLM-powered roles including CEO, CTO, programmer, tester, and designer work together to produce complete software. With 32,000+ GitHub stars and a NeurIPS 2025 accepted paper, it offers a novel approach to automated software development through role-based agent orchestration.

Meta-prompting and context engineering system for Claude Code agents

GSD is a meta-prompting, context engineering, and spec-driven development system designed for Claude Code and compatible AI coding agents. With over 46,000 GitHub stars, it implements a structured four-phase workflow of Discuss, Plan, Execute, and Verify to combat context rot in long AI coding sessions. The system uses multi-agent orchestration with persistent file-based memory.

Desktop app for running AI coding agents in parallel

Baton is a desktop application for orchestrating multiple AI coding agents — Claude Code, Codex CLI, OpenCode, Gemini CLI — simultaneously in isolated git worktrees. Each agent gets its own branch to prevent merge conflicts, with a Monaco diff viewer for reviewing changes, automatic PR creation, and an MCP server that lets agents spawn sub-agents for complex tasks.

Multi-agent orchestration plugin for Claude Code

Oh My ClaudeCode (OMC) is a plugin for Claude Code that adds multi-agent orchestration with 32 specialized agents, smart model routing between Haiku and Opus, and five execution modes including fully autonomous Autopilot and parallel Ultrapilot. It provides 40+ skills, a real-time HUD statusline, and lifecycle hooks — transforming Claude Code into a coordinated AI development team with zero configuration required.

Multi-agent coordination framework

A framework for coordinating multiple AI agents working together on complex development tasks. Defines agent roles, communication patterns, task delegation strategies, and inter-agent workflows to break down large projects into manageable, parallel workstreams handled by specialized agents. Ideal for teams experimenting with multi-agent architectures where different AI models handle distinct aspects of software development.

Open-source dashboard for AI agent orchestration

An open-source dashboard for managing AI agent fleets. Dispatch tasks, monitor progress, and orchestrate multiple agents working in parallel on your codebase. Provides real-time visibility into agent activity, error tracking, and resource allocation so teams can scale autonomous coding workflows with confidence.

Terminal session manager and command center for AI coding agents

Multi-model AI coding platform that lets you switch between different LLM providers within a single IDE experience. Compare outputs from Claude, GPT, Gemini, and open-source models side by side. Useful for teams evaluating which model works best for specific coding tasks, or developers who want the flexibility to use the best model for each situation without changing tools.

IDE for the AI Agents Era — run an army of coding agents in parallel

Open-source meta-IDE that orchestrates 10+ AI coding agents (Claude Code, Codex, OpenCode) in parallel. Uses git worktree isolation to prevent conflicts, with a unified monitoring dashboard and batch diff review. With 7.9k+ GitHub stars, it's the go-to tool for teams that want to scale AI-assisted development across multiple concurrent tasks.

Manage multiple AI terminal agents in parallel with isolated Git worktrees

Enterprise AI development platform providing guardrails, governance, and deployment infrastructure for production LLM applications. Manages model access policies, content filtering, and audit logging across teams. Designed for organizations that need centralized control over how AI is used in development workflows, with compliance features for regulated industries.

Open-source GUI for managing AI coding agents with your own API keys

Unified desktop interface for Codex and Claude Code with a model selector dropdown. Features a git-integrated sidebar, parallel task and thread management, chat and plan modes, and customizable agent access levels. Run via desktop app or npx for instant access. Brings visual project management to terminal-based AI coding agents without sacrificing their command-line power.

Run Claude Code, Codex, and Gemini agents in parallel with isolated branches

Open-source desktop app for orchestrating multiple AI coding agents simultaneously. Auto-creates git worktrees per agent and symlinks shared dependencies to prevent conflicts between parallel tasks. Designed for teams and power users who want to run several AI agents on different features or bugs at the same time, maximizing throughput while keeping each agent's changes cleanly isolated.

Open-source agentic development environment for parallel AI agents

Cross-platform desktop wrapper that adds project management and visual controls to Claude Code's terminal interface. Organize multiple Claude Code sessions by project, track conversation history visually, and switch between tasks without losing context. Bridges the gap between Claude Code's powerful CLI and the visual project organization that many developers prefer for managing multiple concurrent workstreams.