Keep context
Agents arrive already knowing the estate.
No cold startsThe AI file system
Keep gives each agent the right files for its task, turns the work it produces into company memory, and runs on the storage you already have.
The cost today
Keep gives that time back to the work.
Our breakdown of 2M real agent tool calls in the Agent Arena 7-day trace.
The analogy
Waze made every driver smarter on the roads that were already there. Keep does the same for agents: one shared map of the files you already have.
Illustrative.
How it works
Five steps, one loop. Every task makes the next one faster.
The agent describes its task in plain words.
The exact passages that task needs, from every type of file system you run.
Many agents share one live view of the estate.
The output is saved back to your storage, beside the files it came from.
The next agent begins with everything the last one learned.
See it
One contract, three agents, one read of the estate.
What gets kept
Summaries, decisions and drafts are saved to your own storage as ordinary files, beside the sources they came from.
What agents learned from your files, ready for the next one.
What was concluded, and which sources it came from.
The finished work product, filed where people will find it.
Every new file links back to the files behind it.
Your files stay yours, with or without us.
One AI file system
Context in, work out, and your own stack underneath.
Agents arrive already knowing the estate.
No cold startsEvery request returns the exact working set that task needs.
Fewer tokens per answerWhat agents produce is saved back as company memory.
Nothing gets lostRuns on every type of file system you already have.
No migrationChange models and frameworks whenever you want.
No lock-inWhy now
Documents, slides, code, audio and video. Work is moving into file estates, and agents are ready to follow it there.
Built for
CIOs and Chief AI Officers who own agent rollout and want better results at lower cost: fewer tokens, fewer copies, fewer tools.
Who we are
Founder & CEO
LinkedIn14 years in data infrastructure. Led storage and backup infrastructure in the Israeli Air Force's Ofek 324 unit, worked on Cloud Volumes ONTAP at NetApp, and led R&D at an AI-native company.
Co-founder & CTO
LinkedIn20+ years applying algorithms to hard storage systems. At EMC and Huawei's Toga Networks, built workload modeling, predictive tiering and caching technology, producing 48 granted patents.
We are working with a small group of design partners to shape the AI file system.
The blog
Why agents and file systems are the recipe for AI that compounds.
Knowledge compounds when agents work on real files.
What changes when thousands of agents share one file estate.
How parallel agents read and write the same files safely.
Why permissions belong at request time, and how that works.
Turning a file estate into knowledge that improves every day.
Our breakdown of 2M real agent tool calls, and what it means.
Tell us about your agents and your files. We reply within two business days.
keep you posted