*Internally benchmarked on LongMemEval-500 using open-source models.
ChatGPT saves memories. Claude remembers a project. Manus carries knowledge between runs. Each one remembers you, but only on its own — what you tell one is invisible to the next, and moving it means exporting a file and pasting it in by hand. You’re not carrying one memory between tools. You’re maintaining several partial copies of your knowledge, and none of them agree.
What each one holds is thin, too. They’re good at learning your tone and habits — far less reliable at surfacing the one decision you made eight weeks ago, out of thousands, at the moment it actually matters. And none of it is governed in a way an organisation can accept. You can’t prove which memories exist, who reached them, or that they’re truly deleted.
Memory has to outlive the session, the model swap, the vendor. It has to retrieve precisely, and it has to be permissioned and auditable.
That’s not a feature. It’s infrastructure. That’s the gap Kemory is built to close.
A single permissioned memory every AI and agent can share — MCP-native, auditable, and yours to hold.
Stop managing memory. Start using it.
Every AI you talk to has amnesia, and a wall around it. You repeat yourself to each one, and none of them share what they learn. Kemory is a single, living memory every AI and agent can draw on — and a permission engine that decides who sees what. Shared where you want it, sealed where you do not.
No more “remember this” — Kemory remembers on its own, quietly, across every AI. What matters is kept; what you delete is gone. Compaction runs in the background on open models, so every AI receives just what it needs, already distilled.
Compression of your knowledge, not accumulation, is the real flex.
Every AI conversation gets more expensive the longer it runs — and not in a way you’d notice, because the cost is buried inside your subscriptions. Cost-per-turn climbs each iteration and by turn fifty you’re consuming exponentially, because the model keeps re-summarising its own history just to keep going.
It’s like using a Ferrari to go to the grocery store just for milk, every single turn — your premium AI’s are re-reading what you already said, before answering what you actually asked.
Kemory inverts that curve. Instead of accumulating raw history, it compresses continuously — reducing raw memories to namespace summaries, and those into a single, synthesised context. Compaction runs on an open-weight model, so the frontier model only ever sees the compacted version — not the pile.
Kora for Chrome sits quietly in your browser and brings every AI conversation into one memory you own.
You already think across ChatGPT, Claude, Gemini and half a dozen tabs — and everything you work out in one vanishes to the others. Kora for Chrome ends that. As you chat, it gathers the conversations, files and ideas you’re creating and weaves them into your Kemory — automatically, in the background, with nothing to remember to do.
Everything you’ve ever worked out — on hand wherever you’re working, added to your prompt in one click.
Gathering is only half the job. Kora for Chrome brings your memory back to you, everywhere you type. The hardest part of prompting was never the asking — it’s the explaining: the background, the decisions already made, the thing you tried last month. Enhance with Kora does the explaining for you: one click in any AI’s prompt box, and Kora weaves in exactly the memories that matter for this question — the right parts, not your whole history, and you see what was added before you send.
And beyond the click, the memory simply travels with you: start a thought in one AI and carry on in another mid-sentence. Tell one AI something once, and every AI you use just knows it.
Not every question needs the same amount of firepower.
When a question is genuinely hard, Kemory can convene Counsel mode for you — several models answering in parallel, on the same question, at once. Disagreements get surfaced, not hidden, and what comes back is one synthesised answer, not four you have to sort through yourself.
When it’s a light question, Kora, your Chief AI Assistant, routes it to an open model instead. No frontier rates are used for what could be a simple grocery run.
More reasoning power exactly when a question warrants it — and none of the cost when it doesn’t.
Every memory is permissioned, every change is provable, and the whole thing can run inside your own walls. We do not train on your data. Delete anything, and prove it is gone.
Compliance claims will land here once they are certified — for now, this reflects what is built today.
Each entry is chained to the one before it — an altered record breaks the chain from that point on.
Kemory is a permissioned memory layer that sits across every AI you use — not inside any single one of them. Tell one assistant something, and, subject to the permissions you set, the rest can draw on it too.
It doesn’t store a pile of chat logs. It runs a process that compresses your history down to contextualised summaries. The result behaves less like a search index and more like a model of you — what you decided, what mattered, what changed and why. Fully connected, auditable, and permissioned by you.
Free up to 2,000 memories. Pro at $19.99 a month. Enterprise adds governance, audit and support at scale.
Free
Up to 2,000 memories, or 2 AI's.
| Feature | Free | Pro | Enterprise |
|---|---|---|---|
| Price | Free | $19.99 / mo | Custom |
| Memory | 2,000 / 2 AI's | Fair Usage Policy | Uncapped |
| Namespaces + Gatekeeper | Included | Included | Included |
| Hash-chained audit | Included | Included | Yes + export |
| Cross-AI capture | Included | Included | Included |
| Counsel & Kora | Included | Included | Included |
| Self-host | hosted + community edition | Not included | Yes / own-cloud / air-gap |
| Support | Community | Priority | Dedicated + SLA |
Memory is a crowded room. Here is where Kemory fits — including who to choose instead when they are the better fit.
A map of notebooks, stores, and platform memory — so you can see the tradeoffs before the feature table.
Credit where it’s due. The real difference, either way.
Choosing one of these instead? Good — it means it fits you better right now. Join beta waitlist for when cross-AI, governed memory is what you need.
Internally benchmarked at 87.8% on LongMemEval-500 end to end, using open-source models. Built for MCP — Claude Code, Cursor, Claude Desktop. Open models, your walls. Community edition and free plan coming soon.
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