Mybono

Portable multi-agent AI developer setup for Claude Code + Ollama. Role-based local LLM orchestration via Bash — plan, code, review, commit. Zero Dependency. Works with any language stack.

42
5
89% credibility
Found Apr 06, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A suite of bash scripts that leverage local AI models via Ollama to assist developers with hardware optimization, project analysis, git commit messages, pull request generation, and usage tracking.

How It Works

1
🔍 Discover the AI Coding Helper

You find this handy set of tools on GitHub that uses smart local AI to make coding and git work easier and faster.

2
📥 Set It Up on Your Computer

You run a simple setup command that checks your computer's setup, installs any missing helpers, and prepares everything in a special folder.

3
🖥️ Get Personalized AI Recommendations

It scans your computer's memory and power, then suggests the perfect AI models to download so everything runs smoothly on your machine.

4
📂 Analyze Your Project

In your coding project folder, you run the analysis tool, and AI quickly reviews the structure, docs, and key files to give you an overview.

5
✏️ Smart Commits and Changes

After making edits, you stage your changes and let AI craft a perfect, professional commit message based on what you updated.

6
🔗 Create Pull Requests Effortlessly

AI generates a clear title and description for your pull request, and with one confirmation, it opens it on your git platform.

💰 Track Your Wins and Savings

You check stats to see how many tasks AI handled, tokens processed, and money saved by using free local AI instead of paid services.

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AI-Generated Review

What is ai-orchestrator?

ai-orchestrator is a Bash-based ai agent orchestrator github tool that sets up a portable multi-agent AI workflow for local development using Ollama models. It handles hardware analysis to recommend optimal models, project scanning for architecture insights, auto-generated commit messages, and PR drafts via role-based agents (coder, reviewer, commit). Developers pipe it in for zero-dep setup, gaining aliases like `commit` and `open-pr` that integrate with git and gh CLI across any language stack.

Why is it gaining traction?

It stands out as an ai orchestrator open source alternative to cloud-heavy tools, running entirely local with Ollama for privacy and zero API costs—tracking token savings in USD. The hardware-aware model picker and parallel project analysis deliver quick wins like delta reports on code changes, without vendor lock-in. As a github portable app, one-liner install symlinks everything to ~/.claude, hooking devs tired of setup friction.

Who should use this?

Indie hackers and solo backend devs automating git workflows on laptops with Ollama. Fullstack teams analyzing multi-lang repos for stale docs or new patterns. Bash fans dodging ai orchestration jobs complexity, especially on Apple Silicon or NVIDIA setups needing portable github cli extensions.

Verdict

Grab it if you're experimenting with local ai orchestrator agent setups—solid for cost-tracking ai orchestration jobs, but at 42 stars and 0.9% credibility score, it's early-stage with basic docs; test on non-critical projects first. Promising for offline dev boosts.

(178 words)

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