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Memmy Agent

Let every AI remember the same you.

Productivity
Open Source
Artificial Intelligence
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Hunted byZac ZuoZac Zuo

🍙 Memmy Agent is a personal memory hub and local AI agent for all AI Agent and tools like Claude Code, Codex, OpenClaw and Hermes. Gives every AI one shared, full-controlled memory — they all remember the same you. Memmy turns chats, decisions, prefs, progresses, and experiences into long-term memory, brings the right context into matching task, also can take on work directly. Local-first by default. Your memory stay under your control: manage them anytime. Free start with 2M ChatGPT tokens.

Top comment

Congratulations! This will be very helpful! Are there any plans to extend with optional remote memory? For example, if I switch to Claude Code from my mobile it would very helpful to have the same capabilities continued on all devices.

Comment highlights

I think I saw a similar service just a few days ago... Do you have a B2B offering? For example, so other AI services could integrate with your platform and get more information about their users?

I really like the idea of giving different AI tools a shared memory instead of starting from scratch every time. Local-first is also a big plus. Feels like a very practical approach!

Letting external agents both read memory and write new experience back closes the loop beautifully. That is what real continuity needs.

Oh this would be life-changing! I am curious, though, does this help Claude Code, etc., identify the right pieces of memory? Often, I've noticed that these AI models latch onto some obscure instance in the past and make decisions based on it. How do you ensure the memory being accessed is always relevant?

Just launched, and we’d love people to actually use it for a day — not only read the pitch.

A simple try path: install Memmy → connect the agents you already live in → scan your existing chat history → then work as usual. See whether the right preferences and project context follow you when you switch tools. Also peek at the local memory panel: what’s getting captured, and can you delete what shouldn’t be there.

We’re especially hungry for this kind of feedback: which workflows feel instantly worth it, where recall misses, and which tools you want first. Drop it in the PH comments or ping us directly — treat today like open-box day, and help us sharpen cross-agent memory together ✨

https://memmy.bot/

We built Memmy for a pretty simple reason: we were hopping between Cursor, Claude Code, and Codex too — and every switch meant re-explaining project context, preferences, and the last landmines we hit. Exhausting.

So we made a local shared memory layer: different agents read and write the same context, and the data stays on your machine by default. After install you can scan the history you already have, so you’re not starting from an empty box; then it keeps capturing and recalling as you work.

If “switch tools, lose the plot” sounds familiar, come try it. Love it, hate it, find something weird — tell us. Real feedback is how we ship 🙌

https://memmy.bot/

Local SQLite storage plus user-controlled access makes the privacy story easy to understand. I appreciate the concrete implementation details.

Local note apps preserve information, but they do not automatically surface the right decision to the agent working on today's task.

Retrieval analytics showing which memories helped, were ignored, or caused corrections could improve both user control and system quality.

I’d use this to keep my writing voice consistent across different AI tools. They all seem to understand my style eventually… right before I start a new chat

Referencing API keys through environment variables instead of hardcoding them in config is exactly the kind of secure default I want.

Been looking for something like this, using claude_mem skill up to now.
Amazing!

Could definitely see this being used for shopping or booking flights. I want my agent to just remember my preferences and what I like in terms of clothes and flight selections for example.

Interesting thought: could a team use Memmy to help onboard new hires? There’s so much useful context that never makes it into the official docs.

local-first with no cloud is exactly why i clicked too, but what happens on a new machine? does the memory pool migrate somehow or does a laptop swap just reset you to zero. that tradeoff between local-only and continuity feels like the real design fork here

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

About Memmy Agent on Product Hunt

“Let every AI remember the same you.”

Memmy Agent launched on Product Hunt on July 30th, 2026 and earned 534 upvotes and 206 comments, earning #2 Product of the Day. 🍙 Memmy Agent is a personal memory hub and local AI agent for all AI Agent and tools like Claude Code, Codex, OpenClaw and Hermes. Gives every AI one shared, full-controlled memory — they all remember the same you. Memmy turns chats, decisions, prefs, progresses, and experiences into long-term memory, brings the right context into matching task, also can take on work directly. Local-first by default. Your memory stay under your control: manage them anytime. Free start with 2M ChatGPT tokens.

Memmy Agent was featured in Productivity (657.5k followers), Open Source (68.7k followers) and Artificial Intelligence (475.2k followers) on Product Hunt. Together, these topics include over 276.1k products, making this a competitive space to launch in.

Who hunted Memmy Agent?

Memmy Agent was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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