← Use cases · Coding agents & IDE assistants
AI agent tools for orchestration
Short answer: Our top pick for orchestration: trigger.dev, with the highest AgentPick Score (85/100) among tools tagged "orchestration". Runners-up: agent-orchestrator (83) and oh-my-opencode-slim (82). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | trigger.dev | Trigger.dev – build and deploy durable AI agents and workflows | 85/100 | ★ 17k | Apache-2.0 | 14 Oct 2026 |
| #2 | agent-orchestrator | Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents. | 83/100 | ★ 13k | Apache-2.0 | 14 Oct 2026 |
| #3 | oh-my-opencode-slim | Lean, fine tuned Opencode multi agent suite · Mix any models · Auto delegate tasks | 82/100 | ★ 9.5k | MIT | 14 Oct 2026 |
| #4 | jarvis-registry | Connect any AI copilot or autonomous agent to your enterprise tools — through a single, secure MCP/Agent gateway with built-in identity, access contro… | 76/100 | ★ 3.6k | Apache-2.0 | 14 Oct 2026 |
| #5 | workflow | Workflow SDK: Build durable, reliable, and observable apps and AI Agents in TypeScript | 76/100 | ★ 2.5k | Apache-2.0 | 14 Oct 2026 |
| #6 | jido | 🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows. | 73/100 | ★ 1.9k | Apache-2.0 | 14 Oct 2026 |
| #7 | faraday | Open-source and AI-powered cybersecurity tools for offensive security, vulnerability management, and autonomous pentesting. Built by hackers in Latin … | 72/100 | ★ 6.8k | GPL-3.0 | 6 Oct 2026 |
| #8 | Lody | Share coding agents with your team on phone and desktop | 71/100 | ★ 1.4k | Apache-2.0 | 14 Oct 2026 |
| #9 | optio | Workflow orchestration for AI agent swarms. | 69/100 | ★ 1.1k | MIT | 13 Oct 2026 |
| #10 | relay | Infrastructure for coding agents | 69/100 | ★ 884 | Apache-2.0 | 14 Oct 2026 |
| #11 | pilotfish | Multi-model orchestration layer for Claude Code — the frontier model plans, cheaper models execute, verification guards quality. One-prompt install. | 64/100 | ★ 708 | MIT | 9 Oct 2026 |
| #12 | aiox-core | Synkra AIOS: AI-Orchestrated System for Full Stack Development - Core Framework v4.0 | 61/100 | ★ 3.1k | See repo | 14 Oct 2026 |
| #13 | dmux | A dev agent multiplexer for git worktrees and coding agents. | 58/100 | ★ 1.8k | MIT | 16 Aug 2026 |
| #14 | voice-ai | Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS… | 57/100 | ★ 746 | See repo | 6 Oct 2026 |
| #15 | edict | 🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails | 54/100 | ★ 17k | MIT | 28 Sept 2026 |
| #16 | orb | All your AI providers, machines, and agent harnesses in one place. Formerly sandboxed.sh (now the backend to the Orb clients). | 51/100 | ★ 530 | See repo | 14 Oct 2026 |
| #17 | harmonist | Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies. | 44/100 | ★ 2.3k | MIT | 9 Jun 2026 |
| #18 | smythos-studio | SmythOS Studio: Open-Source Visual AI Agent Builder and deployable runtime stack from SmythOS. Start with an intuitive drag-and-drop workspace, extend… | 27/100 | ★ 646 | MIT | 3 Apr 2026 |
| #19 | klaw.sh | kubectl for AI Agents | 20/100 | ★ 633 | See repo | 30 Mar 2026 |
| #20 | adversarial-spec | A Claude Code plugin that iteratively refines product specifications by debating between multiple LLMs until all models reach consensus. | 20/100 | ★ 556 | MIT | 22 Jan 2026 |
| #21 | mcp-server-code-execution-mode | An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflar… | 15/100 | ★ 340 | GPL-3.0 | 5 Dec 2025 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Check which models and providers it supports.
- Prefer tools that show diffs and ask before running commands.
- Look for recent commits: coding agents change fast.
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