Compose agentic context.
Context comes in layers — per-customer, per-agent, per-business — each with its own permissions. Archil combines them into one workspace that any number of agents can use at once.
Read the docsRun millions of stateful agents on top of your data with versioned disks, serverless sandboxes, and SQLite databases. Set up in minutes.
The agent gets your filesystem as tools and saves its work straight to the disk.
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Trusted by teamsshipping AI in production
Sandboxes solve where agents run, but not how they get, keep, or share context. Archil does both.
Context comes in layers — per-customer, per-agent, per-business — each with its own permissions. Archil combines them into one workspace that any number of agents can use at once.
Read the docsAuto-renews annually
Make your S3 bucket or system of record available to agents as a native filesystem — without an ETL pipeline or a second copy to pay for, secure, and keep in sync.
Read the docsmounted /mnt/archil · context availablerg "renewal" customers/acme3 matches · 84 msno command running · billing pausedpython summarize.py matches.jsonsummary.json written · 412 msno command running · billing pausednode publish.mjs summary.jsonartifact registered · 206 mssandbox released · filesystem preservedGive your agent serverless tools to manipulate their context with Bash, Python, or Node, without managing a separate sandbox.
Read the docsBuild experiences where your users collaborate with agents on the same files, through a strongly consistent S3 API.
Read the docsAgents make mistakes. Checkpoint the disk before they start, fork as many parallel attempts as you like, and keep the one that worked.
Read the docsRun model training, genomics, and analytics through a unified SSD cache over your S3 data.
Archil keeps hot data on SSD and cold data in your bucket — so you only pay for what you use, not what you store.
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AdaptiveWe've been testing Archil with our harness recently and it's hard to tell the difference in performance vs EBS — it's quite fast!


Clay customers work with GBs or TBs of data. Getting that into a sandbox that spins up and dies in seconds used to mean slow staging. With Archil we just mount the filesystem and the data is there.

Archil gave us a single filesystem layer that works identically across the 10+ providers ComputeSDK orchestrates. Our users stopped thinking about where their files live — that's exactly the point.

They approached sandboxes from the perspective of data, not compute — and it's beautiful. This is serious engineering.

This is my trifecta of a new-gen cloud — Archil for storage, compute alongside it, and a database. It just fits together.

Biggest surprise for me was Archil's speed. Incredible tech, and it should have more visibility with AI-native teams.

AdaptiveWe've been testing Archil with our harness recently and it's hard to tell the difference in performance vs EBS — it's quite fast!


Clay customers work with GBs or TBs of data. Getting that into a sandbox that spins up and dies in seconds used to mean slow staging. With Archil we just mount the filesystem and the data is there.

Archil gave us a single filesystem layer that works identically across the 10+ providers ComputeSDK orchestrates. Our users stopped thinking about where their files live — that's exactly the point.