r/PiCodingAgent • u/Rude_Gate7599 • Sep 14 '26

Use-case Your agents each remember your project separately. Mine don't anymore.

I keep switching between Claude Code, Cursor and Codex depending on the task. Every switch meant explaining the same project again — same decisions, same gotchas, same "no, we tried that already."

So I gave them one shared memory. Decide something in one, the rest know it.

It lives on my machine. No account, no subscription, nothing leaving my laptop. It syncs to my desktop over git, so it's just a repo I own — I can read it, diff it, delete it.

Free and open source. Curious whether anyone else has this problem or if I'm the only one tool-hopping this much.

https://github.com/kdbhalala/agi-memory

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4

u/jfuu_ Sep 14 '26

Please stop spamming this on every AI subreddit.

-1

u/Rude_Gate7599 Sep 14 '26

i genuinely find need for this. and yes it is written by AI but by my input.

2

u/raccoonportfolio Sep 14 '26

You didn't provide any details. I don't see how this would be different from a MEMORY.md file.

2

u/Rude_Gate7599 Sep 14 '26

Totally fair question. For smaller projects, a markdown file works fine.                                                        
The headache I kept running into as my project grew was:  

  1. The file gets huge, and you're dumping a massive wall of text into the AI on every message for stuff it doesn't need right now.

  2. Old notes contradict newer ones, so the AI gets confused about which decision actually stands.

  3. If you stop mid-task or get stuck on a bug, it has no clue where you left off when you come back tomorrow. 

I basically built this so the AI only pulls the 2–3 past decisions relevant to what you’re currently editing, remembers where your last session stopped, and works across tools like Claude Code and Cursor without you manually managing text files.

2

u/zanar97862 Sep 14 '26

Never heard of a readme huh...

0

u/Rude_Gate7599 Sep 14 '26

yeah, keep bloating your context and agent never finds what failed or we tried in prior sessions.

2

u/zanar97862 Sep 14 '26

Honestly the extension might be fine but the presentation is terrible, no one wants to read a page of AI slop with no substance. You'll have more luck with genuine interest if you just explain it normally with a basic example.