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How to use Codex Memories: what you can do with it

What is Codex Memories? Codex Memories is a local-first persistent memory runtime that lets OpenAI Codex recall project decisions across sessions from a Git-backed store.

How do I use it? git clone https://github.com/libenxier-beep/codex-memories.git; then cd codex-memories; ./install.sh. Full steps below.

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Quick start with Codex Memories

  1. Check you have what it needs: Python 3.9+ and Git installed; A local Codex installation for the full install (the demo needs no Codex account or API key); Review access to your Codex hooks configuration, since the installer does not edit hooks.json.
  2. Open libenxier-beep/codex-memories on GitHub and read the README and license.
  3. git clone https://github.com/libenxier-beep/codex-memories.git
  4. cd codex-memories
  5. ./install.sh
  6. ~/.local/share/codex-memories/bin/codex-memories doctor

These steps come from our top use case, Give Codex a local memory of project decisions, which also has a copy-paste agent prompt.

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Requirements

  • Python 3.9+ and Git installed
  • A local Codex installation for the full install (the demo needs no Codex account or API key)
  • Review access to your Codex hooks configuration, since the installer does not edit hooks.json

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Questions about Codex Memories

What is Codex Memories?

Codex Memories is a local-first persistent memory runtime that lets OpenAI Codex recall project decisions across sessions from a Git-backed store. It is an open-source project on GitHub: https://github.com/libenxier-beep/codex-memories.

How do I use Codex Memories?

git clone https://github.com/libenxier-beep/codex-memories.git; then cd codex-memories; ./install.sh. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Codex Memories for?

Developers who use OpenAI Codex on their own machines and want project decisions kept locally instead of in a hosted memory service.

What can I do with Codex Memories?

3 use cases so far, for example: Give Codex a local memory of project decisions; Check the memory loop with a throwaway demo first; Roll back progressive recall without losing memory. Each has steps and a copy-paste agent prompt.

What do I need to run Codex Memories?

Python 3.9+ and Git installed; A local Codex installation for the full install (the demo needs no Codex account or API key); Review access to your Codex hooks configuration, since the installer does not edit hooks.json.

What are alternatives to Codex Memories?

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

Is Codex Memories 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.