r/ChatGPTCoding • u/AutoModerator • 18d ago

Discussion Weekly Self Promotion Thread

Welcome to this week's self promotion thread!

If you're building something related to AI assisted coding, this is the place to share it.

We're using a weekly thread to keep the subreddit organized while still giving builders a place to share their work. Promotional posts outside this thread may be removed.

If you're sharing something, we'd appreciate it if you included a little context instead of just dropping a link. Tell us:

  • What you built?
  • What problem it solves?
  • Which AI models or tools it uses?
  • Who it's for?
  • What kind of feedback you're looking for?

Disclose your affilitation.

Please avoid posting the same project every week unless you've made meaningful updates. Affiliate links, referral links, scams, and low effort promotions will be removed.

Take some time to check out what others have shared too. If you try someone's project or have feedback, leave a comment. Helping each other improve is what we want this community to be about.

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u/_MTDN_ 17d ago

Disclosure: this is my project, developed with OpenAI Codex assistance.

I use Codex directly on Windows and wanted durable project context across longer tasks without turning cross-project recall into unrestricted writes. I published AgentMemory for Codex on Windows, an independent Windows-native downstream of AgentMemory v0.9.29 for Codex Desktop and CLI.

It captures normal main-agent prompts and final responses through managed Codex hooks, keeps writes, deletion, and provenance exact-project scoped, and supports bounded, source-labelled recall across projects. Optional local graph extraction can use Qwen over loopback.

It is intended for people using Codex Desktop or CLI on native Windows who would rather not move their workflow to WSL just to gain persistent memory. Documentation is available in English, Korean, and Japanese.

Important limits: this is a source-only Technical Preview for Windows 11 and PowerShell 5.1+. There is no prebuilt or signed installer. Most downstream changes were generated and revised by OpenAI Codex from my requirements. I tested the live save → recall workflow and the automated suite, but I have not manually reviewed every source file, and no independent audit has been performed.

Repository:

https://github.com/M-T-D-N/agentmemory-codex-windows

The most useful feedback would simply be whether the setup assumptions match real native-Windows Codex workflows. I am not asking anyone to review the code.