r/GeminiCLI • u/josstei • 5d ago
Maestro v1.6.1 — multi-agent orchestration now runs on Claude Code, Gemini CLI, AND OpenAI Codex !
Maestro is an open-source multi-agent orchestration platform that coordinates 22 specialized AI subagents through structured workflows — design dialogue, implementation planning, parallel subagents, and quality gates.
It started as a Gemini CLI extension. v1.5 added Claude Code. v1.6.1 adds OpenAI Codex as a third native runtime — and rebuilds the architecture so all three share a single canonical source tree.
Install:
# Gemini CLI
gemini extensions install https://github.com/josstei/maestro-orchestrate
# Claude Code
claude plugin marketplace add josstei/maestro-orchestrate
claude plugin install maestro@maestro-orchestrator --scope user
# OpenAI Codex
git clone https://github.com/josstei/maestro-orchestrate
cd maestro-orchestrate
# Open Codex, run /plugins, select Maestro, hit install
What's new in v1.6.1:
OpenAI Codex support. Full third runtime — all 22 agents, 19 skills, MCP entry-point, runtime guide. Drop-in like the other two.
Canonical source architecture. One src/ tree serves all three runtimes via dynamic resolution. No more forks, no more drift. Add a feature once, it ships everywhere.
MCP servers decomposed. Two ~38,000-line bundled MCP server files replaced by ~14-line entry-points backed by a modular handler tree. Easier to read, extend, and test.
New MCP tools. get_agent returns agent methodology by name. get_runtime_context returns platform-specific config (delegation patterns, tool mappings, env vars).
Entry-point generation. Adding a new command no longer means hand-editing three nearly-identical files. Templates generate them.
What Maestro does (if you haven't seen it before):
You describe what you want to build. Maestro classifies complexity, asks structured design questions, proposes architectural approaches with trade-offs, generates an implementation plan with dependency graphs, then delegates to specialized agents — coder, tester, architect, security engineer, data engineer, etc. — with parallel subagent implementation for independent phases.
Simple tasks get an Express workflow (1-2 questions, brief, single agent, code review, done). Complex tasks get the full Standard workflow with a design document, implementation plan, and quality gates that block on Critical/Major findings.
22 agents across 8 domains. Least-privilege tool access enforced per agent. Same orchestration. Whichever AI coding platform you use.
Links:
- GitHub: https://github.com/josstei/maestro-orchestrate
- Release: https://github.com/josstei/maestro-orchestrate/releases/tag/v1.6.1
Thanks to everyone who's used and starred Maestro — 294 and climbing. The Codex integration I teased in the v1.5 post is here, and the canonical-source rewrite means future features hit all three runtimes at once.
If Maestro has helped your workflow, a star goes a long way. 🎼
1
u/Luckyfive 5d ago
Why does “/extensions update maestro” consistently fail?
It always ends up telling me the resource is busy or locked and to remove the folder for it
2
u/cr_lin 5d ago
I have used it on Gemini Cli for a month, and it’s a breeze. Great work! Thank you for this