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AO2 Memory
Portable context for every AI. Never explain yourself twice.
You explain your project to one AI. Then you open another and explain it all over again — none of them share a memory. AO2 Memory is a shared memory layer. It's an MCP server you connect to whatever you use — Claude, ChatGPT, OpenClaw — so they all read and write to the same place. Tell one agent something, and the rest already know. And you stay in control: see what every agent did, roll back any change, and revoke access anytime.
Hey PH 👋
I built AO2 Memory because I was losing my mind managing context across AI tools.
I keep my notes and tasks in one place, but every AI tool lived in its own silo. I'd explain a project to Claude, then re-explain the whole thing to ChatGPT, then again to Claude Code. None of them knew what the others knew. I was the integration layer — copy-pasting my own context between tabs all day.
So I built the thing I wanted: a shared memory layer my agents can all read and write to. It's an MCP server, so you connect it to whatever you use — Claude, ChatGPT, OpenClaw, your own apps via API — and they all draw from the same place. Tell one agent something, and the rest already know.
Two things I cared about that most "AI memory" tools skip:
• You actually own it, and it's structured. Not a mushy text blob that degrades over time — a real, structured store you define once, can export, and is yours. Think of your notes finally being legible to AI, instead of dumped into a black box.
• You're in control. Every agent's changes are audited, you can roll back anything, and permissions are granular down to the field. The thing people fear about giving an agent access to their data — that it goes off and does something dumb — you can see it, undo it, and scope exactly what each tool can touch.
Getting started is one prompt: tell Claude or ChatGPT "analyze what you know about me and load it into AO2," and your memory populates itself. From there it compounds — agents save what they pick up as you work, so the more you use it, the more it knows.
I think of it as an audience of two (hence the name - ao2.ai) — just you and your AI.
It's early and there's plenty I'm still building. Genuinely want the feedback.
One question for you all: how are you managing context across your AI tools right now? Curious whether everyone's doing the same copy-paste dance I was, or if people have found something better.
About AO2 Memory on Product Hunt
“Portable context for every AI. Never explain yourself twice.”
AO2 Memory was submitted on Product Hunt and earned 19 upvotes and 7 comments, placing #24 on the daily leaderboard. You explain your project to one AI. Then you open another and explain it all over again — none of them share a memory. AO2 Memory is a shared memory layer. It's an MCP server you connect to whatever you use — Claude, ChatGPT, OpenClaw — so they all read and write to the same place. Tell one agent something, and the rest already know. And you stay in control: see what every agent did, roll back any change, and revoke access anytime.
On the analytics side, AO2 Memory competes within Developer Tools, Artificial Intelligence and Vibe coding — topics that collectively have 989k followers on Product Hunt. The dashboard above tracks how AO2 Memory performed against the three products that launched closest to it on the same day.
Who hunted AO2 Memory?
AO2 Memory was hunted by Nazar Ilamanov. 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.
For a complete overview of AO2 Memory including community comment highlights and product details, visit the product overview.
Nazar Ilamanov