izscc

izscc / iLongRun

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iLongRun：面向 GitHub Copilot CLI 的 Planner-of-Planners 蜂群长跑编排插件

10
2
100% credibility
Found Apr 09, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

iLongRun turns GitHub Copilot CLI into a persistent orchestrator for complex AI-driven tasks, breaking them into auditable phases with resumption and review gates.

How It Works

1
📰 Discover iLongRun

You hear about a handy tool that lets AI tackle big, ongoing projects without forgetting where it left off.

2
🔧 Quick setup

Follow a simple one-click guide to add it to your everyday coding helper, ready in moments.

3
🚀 Hand off a big task

Describe your goal like 'Build a game with tests and reviews,' and watch it break it into smart steps.

4
📊 Track the journey

Glance at friendly boards anytime to see progress, current phase, and what's next.

5
⏯️ Pause and resume anytime

Step away for hours or days; jump back in and it picks up exactly where you stopped.

6
✅ Secure finish with proof

It completes with clear summaries, checks for coding work, and even sends you a note.

🎉 Big project done right

Enjoy your finished work with full records to review, trusting AI handled it reliably.

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AI-Generated Review

What is iLongRun?

iLongRun is a Python plugin for GitHub Copilot CLI that transforms one-off prompts into persistent, recoverable task orchestrators—a true planner-of-planners for complex workflows. It breaks missions into phases, waves, and workstreams, tracking progress in a ledger for easy resumption after interruptions, with built-in auditing for coding tasks. Users get CLI commands like `ilongrun "refactor auth module"`, `ilongrun-status latest`, and `ilongrun-resume` to monitor and continue runs without restarting.

Why is it gaining traction?

Unlike basic Copilot prompts, iLongRun adds stateful recovery, model locking across chains (`--model claude-sonnet-4.6`), and gates like review/audit/finalize, making AI reliable for multi-hour tasks. Developers notice the ledger's true-value tracking (scheduler.json + status.json) for debugging, plus macOS notifications and doctor checks for smooth ops. It's a lightweight CLI layer that feels like a task OS on Copilot.

Who should use this?

Backend devs tackling refactors or feature builds needing test/review cycles; AI workflow hackers wanting resumable Copilot sessions; teams auditing AI-generated code in JS/TS projects. Skip if you just need quick answers—it's for sustained pushes like "implement full CRUD with tests."

Verdict

Try it if Copilot CLI is your daily driver; the Python CLI hooks are solid for long runs, with strong docs and samples. At 10 stars and 1.0% credibility, it's early—expect tweaks, but low risk for personal use given uninstall scripts and no side effects.

(187 words)

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