u/cosmic-comet-

I’m going to sleep, will check when I woke up.

A way for the agent to leave a **memory log after each session.**So I built Agent Ledger a local CLI + dashboard that tracks.

file changes (via git).
commands (pass/fail).
notes (agent decisions).
auto-generated session reports.

Also added agent recipes (.md workflows) so you can guide agents for like.

planning
feature implementation
bug fixing
recovery after reset

Reports get saved locally, and agents can read them to continue work after a reset.

Repo (setup + details):
https://github.com/danyalahmed1995/AgentRun-Ledger

Hope you guys will find it helpful.

A plugin to make working with large codebases in ChatGPT and Codex less painful.
You select a project folder and it does a few things
filters out junk like node_modules builds logs assets
keeps only relevant code files splits everything into manageable markdown bundles adds instruction templates depending on what you want to do.

Then you upload the zip to ChatGPT and it generates a structured plan that you can send to Codex.
So, Instead of letting the model spend time figuring out your repo structure every time, you give it a clean and consistent input once.

Tested it on a Unity project around 57GB with more than 100k files and it handled it without crashing. There is filtering and size limits in place so it skips heavy binary files.

You can customise what to include or exclude in default-config.json

Installation guide is in the Readme.md

Repo:
https://github.com/danyalahmed1995/PromptPipeline/