fitchmultz

Codex-style goal tracking and continuation for pi.

16
0
100% credibility
Found May 10, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This is an add-on for the pi AI coding tool that lets users set, track, and complete long-term goals with automatic time and effort monitoring via simple commands and AI tools.

How It Works

1
🔍 Discover Goal Helper

You learn about a simple add-on that helps your AI coding buddy focus on big tasks by tracking goals.

2
📦 Add It Easily

You add the goal tracker to your AI helper in one quick step, and it's ready to use.

3
🎯 Set a Big Goal

You tell your AI a clear objective like 'Build and test the new feature,' and it starts pursuing it.

4
⏱️ Watch It Track

Your AI works on the goal, automatically counting time spent and effort used, with updates in the status bar.

5
Manage Progress
⏸️
Pause

Pause the goal for a break, and resume later.

🔄
Check or Adjust

Peek at status or tweak the goal anytime.

Finish It

Mark the goal complete when done, seeing final time and effort stats.

6
📊 Stay Informed

Get summaries of goal status, time used, and remaining effort whenever you check.

🏆 Goal Won!

Your AI finishes the task perfectly tracked, and you feel accomplished for the next adventure.

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Star Growth

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AI-Generated Review

What is pi-codex-goal?

pi-codex-goal brings codex-style goal tracking and continuation to pi sessions in TypeScript. It lets you set long-running objectives via the `/goal` command, with subcommands to pause, resume, or clear them, while AI agents use tools like `get_goal`, `create_goal`, and `update_goal` to manage progress. State persists in pi's session history—no external database needed—tracking tokens used, elapsed time, and budgets across resumes, forks, and compactions.

Why is it gaining traction?

It mirrors Codex TUI exactly, injecting continuation prompts and budget steering without disrupting pi's flow, plus footer status displays for active goals. Developers dig the automatic token/time accounting that excludes cache noise, and hidden prompts that nudge idle agents back to work. No setup hassle: just `pi install npm:pi-codex-goal`.

Who should use this?

Pi users building AI coding agents for multi-turn tasks, like implementing features end-to-end or debugging across sessions. Ideal for devs chaining agent calls where forgetting context kills productivity, or teams forking sessions without losing goal state.

Verdict

Try it if you're deep in pi—solid docs and seamless integration make it a no-brainer for codex-style workflows, despite 16 stars and 1.0% credibility signaling early maturity. Skip if not using pi; lacks broad tests or adoption for production yet.

(178 words)

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