josstei

josstei / maestro-gemini

Public

Turn Gemini CLI into a multi-agent platform — 12 specialized subagents, parallel dispatch, 4-phase orchestration, and standalone dev tools for code review, debugging, security, and performance

agentic ai-agents ai-coding cli-extension code-review
68
1
100% credibility
Found Feb 10, 2026 at 9 stars 8x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Maestro extends an AI coding assistant with multi-agent coordination for guiding users through software design, planning, execution, and standalone tasks like code reviews, debugging, security audits, and performance analysis.

How It Works

1
🔍 Discover Maestro

You stumble upon Maestro, a helpful extension that turns your AI coding buddy into a full development team.

2
📥 Add Maestro easily

You install Maestro into your AI assistant with a quick and simple step, no hassle involved.

3
⚙️ Wake up the team

You enable the special team feature in your AI settings so specialists can join in.

4
🚀 Describe your dream project

You tell Maestro what you want to build, like a task manager app, and it starts a friendly chat to shape your ideas.

5
👥 Watch the team build it

Maestro gathers its experts to design, plan, code, test, and polish your project step by step.

6
🔍 Review and tweak

You check progress, get code reviews, debug issues, or run safety checks anytime with simple commands.

🎉 Your app is ready!

Your complete project comes to life, fully reviewed and optimized, ready for you to use.

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Star Growth

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AI-Generated Review

What is maestro-gemini?

Maestro-gemini is a JavaScript extension for Gemini CLI that enables multi-agent orchestration by assembling 12 specialized subagents—like architect, coder, debugger, and security-engineer—coordinated by a TechLead for handling complex dev tasks. It solves the chaos of single-model AI tackling full projects by breaking them into structured design dialogues, phased planning, parallel execution, and validation, with session persistence in YAML/Markdown files. Users run /maestro.orchestrate for end-to-end workflows or standalone commands like /maestro.review, /maestro.debug, and /maestro.security-audit.

Why is it gaining traction?

It stands out from basic langgraph multi agent github setups or multi agent orchestration copilot tools by offering resumeable sessions, error retries, and role-based tool access for trustworthy decision-making, all native to Gemini's experimental subagents. Developers hook on the dev-team simulation: propose architectures, assign phases, and get severity-classified reviews without endless prompting. As a multi-agent orchestration framework, it bridges chat AI to production-ready outputs like impl plans and perf optimizations.

Who should use this?

Backend devs building authenticated REST APIs who need automated planning and execution. Fullstack soloists debugging bottlenecks or running OWASP audits on prototypes. Teams testing multi-agent orchestration tools in Gemini CLI for code reviews on staged changes or last commits.

Verdict

At 10 stars and 1.0% credibility, maestro-gemini feels pre-maturity—subagents run in experimental YOLO mode with no tests visible—but crisp docs and ready commands make it a low-risk experiment for Gemini users eyeing multi-agent platforms. Try /maestro.orchestrate on a side project; archive and bail if it flakes.

(198 words)

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