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How to use Penelopa AI: what you can do with it

What is Penelopa AI? Penelopa.ai is a JavaScript tool that captures real Codex and Claude Code sessions, finds repeated workflow patterns, and turns them into reusable skills, checks, prompts, and recommendations.

How do I use it? On macOS or Linux, run curl -fsSL https://penelopa.ai/script | sh in a terminal. On Windows, use the PowerShell commands from the README; then in Codex, open Settings → Hooks, review Stop and SessionEnd, and trust them. In the CLI, use /hooks; open the desktop app and go to Connection to confirm configured agents. Full steps below.

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4 use cases

Quick start with Penelopa AI

  1. Check you have what it needs: A Penelopa account, created during installation; Codex or Claude Code installed on the machine; macOS 13.5+, Windows 10 22H2+ or Windows 11 x64 for the desktop app, or Linux x64/arm64 with kernel 4.18+ and glibc 2.28+ for hooks only.
  2. Open chigwell/Penelopa.ai on GitHub and read the README and license.
  3. On macOS or Linux, run curl -fsSL https://penelopa.ai/script | sh in a terminal. On Windows, use the PowerShell commands from the README.
  4. In Codex, open Settings → Hooks, review Stop and SessionEnd, and trust them. In the CLI, use /hooks.
  5. Open the desktop app and go to Connection to confirm configured agents.
  6. Continue a normal coding session so a real hook event is observed.

These steps come from our top use case, Connect Codex and Claude Code sessions to Penelopa, which also has a copy-paste agent prompt.

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Penelopa AI alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and engineering leads who use Codex or Claude Code daily and want their agent workflows reviewed and improved over time.
  • Why it is hot140 stars, launched 53 days ago
  • LanguageJavaScript
  • Sourcegithub.com/chigwell/Penelopa.ai · Back to Hot repos

Requirements

  • A Penelopa account, created during installation
  • Codex or Claude Code installed on the machine
  • macOS 13.5+, Windows 10 22H2+ or Windows 11 x64 for the desktop app, or Linux x64/arm64 with kernel 4.18+ and glibc 2.28+ for hooks only
  • Internet access to penelopa.ai, nodejs.org, the npm registry and Electron release downloads
  • About 3 GB of free disk space for desktop builds

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Questions about Penelopa AI

What is Penelopa AI?

Penelopa.ai is a JavaScript tool that captures real Codex and Claude Code sessions, finds repeated workflow patterns, and turns them into reusable skills, checks, prompts, and recommendations. It is an open-source project on GitHub: https://github.com/chigwell/Penelopa.ai.

How do I use Penelopa AI?

On macOS or Linux, run curl -fsSL https://penelopa.ai/script | sh in a terminal. On Windows, use the PowerShell commands from the README; then in Codex, open Settings → Hooks, review Stop and SessionEnd, and trust them. In the CLI, use /hooks; open the desktop app and go to Connection to confirm configured agents. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Penelopa AI for?

Developers and engineering leads who use Codex or Claude Code daily and want their agent workflows reviewed and improved over time.

What can I do with Penelopa AI?

4 use cases so far, for example: Connect Codex and Claude Code sessions to Penelopa; Repair broken Penelopa hooks without reinstalling; Trace agent steps back to their evidence. Each has steps and a copy-paste agent prompt.

What do I need to run Penelopa AI?

A Penelopa account, created during installation; Codex or Claude Code installed on the machine; macOS 13.5+, Windows 10 22H2+ or Windows 11 x64 for the desktop app, or Linux x64/arm64 with kernel 4.18+ and glibc 2.28+ for hooks only; Internet access to penelopa.ai, nodejs.org, the npm registry and Electron release downloads.

What are alternatives to Penelopa AI?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Penelopa AI safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.