The middle path — unified, and yours.
The big-AI clouds unify your knowledge — by taking it. The open-source tools keep it private — if you assemble them yourself. Kokoroe is the middle: one private place that captures, understands, and forgets on command.
How we compare
Honest about where we win — and where we don't.
| What matters | Kokoroe | ChatGPT / Claude | Notion AI | Glean | Onyx (self-host) |
|---|---|---|---|---|---|
| Your data stays private | |||||
| Isolated per organization — and per person | |||||
| Captures your work (not just search) | |||||
| You can make it forget | |||||
| Answers cite your own sources | |||||
| Connects the tools you use | |||||
| Feeds your own AI (MCP) | n/a | ||||
| Nothing to run — no infrastructure to assemble | |||||
| Reachable price, no big minimum |
To be fair: Glean is unmatched for enterprise-scale search across a huge org, ChatGPT and Claude are the smartest general models, Notion AI is excellent if your work already lives in Notion, and open-source Onyx is powerful if you're happy to run the infrastructure yourself. Kokoroe's bet is the combination none of them make: private and curated, capture and control, at a price a real team can reach.
How it works in practice
One private loop — from client work to clean offboarding.
Every engagement gets its own private databank. Your team captures work as they go, Kokoroe turns it into understanding they can chat with and draft from — and when the engagement ends, you remove it and the AI forgets. No lingering copies, clean offboarding.
Fair questions
The things people ask before they trust us.
Why not just use ChatGPT or Claude?
They're the smartest generalists, and Kokoroe doesn't compete with them — it feeds them. A chat window gives you an answer; Kokoroe gives your team a private, permanent memory of your own world that every AI you use can read through MCP. You can't paste that into a prompt.
Why not Glean?
Glean is genuinely strong at enterprise-scale search, but it's priced for large organizations with big seat minimums, it's cloud-only, and it only searches what already exists — it doesn't capture the work you do. And you can't tell it to forget.
Why not run open-source, like Onyx?
If you're happy to run and maintain search infrastructure yourself, that's a real option and a good one. Kokoroe is the curated alternative: capture, control, and polish, with a private home for your knowledge that you don't have to assemble or operate.
Is my data actually safe?
Your knowledge is isolated per organization — and per person inside it — enforced at the data layer, not just in the interface. It runs on our own private infrastructure, it is never used to train a model, and when you remove something the AI forgets it. No lingering copies.
Agentic flows
Agents that run on your knowledge — not someone else's cloud.
The same wall that keeps your knowledge private applies to the agents acting on it: they read from your space, run where your data lives, and stop where you tell them to.
Do the work
Step by step
On a schedule or event
Act on your systems
- Agents see only what their scope allows — the same isolation your people get
- They ground answers in your own sources, not the open web
- Remove the underlying knowledge and the agent loses it too — no lingering copies
- Bring your own AI: agents here, or your Claude and MCP clients outside
Agent store
Start from ready-made agents — or build your own and share them with your team.
Ready when you are
Unified knowledge you don't have to give away.
Start free. Private by default, and yours to control.