JY0xLU

JY0xLU / codexgo

Public

Recover the last actionable Codex request after compaction failure, crash, or lost context.

12
0
100% credibility
Found Apr 30, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Codexgo is a small local tool that recovers the last actionable task from a broken AI coding conversation by checking history files.

How It Works

1
😩 Chat breaks mid-task

You're working with your AI coding helper, explaining a task, and suddenly the conversation thread vanishes due to a glitch.

2
🔍 Find codexgo

You discover codexgo, a little helper that can dig up your lost task from local notes.

3
📁 Add the helper

Simply place the codexgo files into your AI helper's skills folder so it's ready to use.

4
🔄 Restart the app

Restart your AI coding app to let it spot the new helper.

5
💬 Say 'codexgo'

Start a fresh chat and type 'codexgo' – it instantly pulls back your previous task.

Task recovered!

You get the exact request or plan to continue seamlessly, saving time and frustration.

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Star Growth

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AI-Generated Review

What is codexgo?

Codexgo is a Python skill for the Codex AI coding app that recovers your last actionable request after a thread dies from compaction failure, crash, or lost context—like recovering a lost GitHub branch mid-push or last unsaved Excel file. Just open a fresh session, type "codexgo", and it pulls the task from local SQLite state and rollout logs, skipping filler like "continue" or "ok" to give you a clean continuation prompt. Zero dependencies, runs locally with no network calls.

Why is it gaining traction?

It stands out for being dead simple: one-file install into Codex's skills folder, bilingual docs, and CLI mode with JSON output for scripting automation. Privacy-focused read-only access beats cloud memory hacks, and smart filtering handles vague refs like "that plan" by expanding context upward. Developers dig the no-reexplain workflow after Codex glitches.

Who should use this?

Codex CLI or desktop users grinding long sessions on repos, especially those hitting compact errors in Python or multi-language projects. Ideal for solo coders recovering interrupted refactors, or scripters piping JSON to CI pipelines—like frontend devs fixing forms or backend folks debugging streams without rebuilding context.

Verdict

Grab it if you're deep in Codex; 12 stars and 1.0% credibility score scream early days, but solid docs, tests, and Apache license make it low-risk to clone and try. Worth the 30-second setup for frequent users—ignore if you're not on Codex.

(178 words)

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