Memmy Agent

Let every AI remember the same you.

Productivity

Open Source

Artificial Intelligence

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Memory with agentic flows is often a gap when I’ve tried my own experiments, looking forward to checking this out!

This is really cool! Now I just need to figure out who I am.

This is awesome. I think the whole community been waiting for something like this.

BTW does it work with any AI tool already??? Like Antigravity, Grok build, etc...

I work across several products on one machine and a couple of them handle clinical data, so my question is about isolation: can memory be hard-scoped per project, or is separation just an outcome of retrieval ranking?

Congrats on the launch! Does the memory sync work in real-time across different AI agents (like Claude Code and Codex)?

Re-explaining the same context to every new AI tool is quietly one of the most annoying parts of this whole space, so shared memory across Claude Code and Cursor sounds like a small dream. Open source makes it easier to trust with this kind of data too. If I open my memory up, what does it actually look like, plain files I can edit or something more structured?

The ability to recover context from existing agent history is a huge unlock. Starting with what users have already built up is the right approach.

For me, the interesting challenge isn’t whether an AI can remember more, but whether it can remember the right things. How does Memmy distinguish a durable preference from a one-time instruction?

Congrats on the launch! We're building humalike.ai and personal memory is one thing we care about :))

Does Memmy retrieve only the most relevant memories for each task, or inject a larger context block? I’d be interested to see how you balance recall quality, latency, and token usage.

the write-back is the interesting half. dedup handles the same fact twice, but the thing that actually bites is a memory that still sounds confidently true and just is not true anymore, and nothing in the chat history tells you which one that is

This could make switching AI tools much less painful. If users can take their accumulated context with them, choosing a new model no longer means losing the relationship they built with the previous one. That’s a meaningful shift.

Really interesting direction. How does Memmy handle outdated or conflicting memories—for example, when a project decision changes later? Does the newer context automatically override the old one, or can users review the conflict?

What makes someone use Memmy instead of just relying on Claude or ChatGPT's built-in memory?

Shared memory across agents sounds powerful, especially with per-tool control. Can I create separate memory spaces for work, personal projects, and clients—and decide exactly which agent can access each one?

Quick video on how Memmy works

https://youtu.be/QURd0wkf4gI?si=cOLHwrsSlWWi5wXn

congrats! @brattyaiguy