What do you want to do?
3 use cases
-
Give Codex a local memory of project decisions
Install a local, Git-backed memory so Codex can recall decisions across sessions.
- REPO
libenxier-beep/codex-memories - Codex
- Software and DevOps
- Intermediate
View prompt
Clone the codex-memories repo from https://github.com/libenxier-beep/codex-memories, run ./install.sh, then run ~/.local/share/codex-memories/bin/codex-memories doctor. Report the integration line; it should show review_required until the hook plan is merged, and confirm the Authority path is ~/.codex/memories.
- REPO
-
Check the memory loop with a throwaway demo first
Run a synthetic commit, index, and recall cycle before installing anything.
- REPO
libenxier-beep/codex-memories - Software and DevOps
- Intermediate
View prompt
Clone the codex-memories repo from https://github.com/libenxier-beep/codex-memories and run python3 scripts/codex_memories.py demo. Report whether it prints 'Codex Memories demo: PASS' and quote the recalled line; verify that no files under ~/.codex/memories were created.
- REPO
-
Roll back progressive recall without losing memory
Switch from progressive retrieval back to legacy recall while keeping stored memory.
View prompt
In the codex-memories repo, run python3 scripts/agent_memory.py --progressive-state-dir <owner-only-state-dir> progressive rollback. Report the command output and confirm the memory authority under ~/.codex/memories still exists and was not deleted.
Quick start with Codex Memories
- 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.
- Open libenxier-beep/codex-memories on GitHub and read the README and license.
git clone https://github.com/libenxier-beep/codex-memories.gitcd codex-memories./install.sh~/.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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About this repo
- Who it is forDevelopers who use OpenAI Codex on their own machines and want project decisions kept locally instead of in a hosted memory service.
- Why it is hot103 stars, launched 60 days ago
- LanguagePython
- Sourcegithub.com/libenxier-beep/codex-memories · Back to Hot repos
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.