Give agents persistent filesystems and compute near the data they use
Archil is infrastructure for applications whose AI agents need persistent access to files and data. It combines versioned disks, shared filesystems and serverless execution so that an agent's workspace does not have to disappear when a compute session ends. The service is aimed at developers building agent platforms and data-intensive workflows rather than people looking for a ready-made consumer chatbot.
The platform can expose existing object-storage data as a native filesystem and compose different layers of context into a workspace. This lets an application separate customer, agent and business information while still making the required material available to a task. Agents can read and write files, and other application components can access generated artifacts through a strongly consistent S3 interface. Keeping the data layer independent from a single run supports collaboration and longer-lived projects.
Serverless tools allow code such as Bash, Python or Node to work near the filesystem. Disk checkpoints and forks provide a way to preserve a starting state, compare alternative attempts and recover from an unwanted write. These are useful primitives for agents that modify code, transform datasets or generate documents. They do not automatically determine which output is correct; the application still needs its own validation and access rules.
The Developer plan includes a small monthly storage and sandbox allowance, with usage charges beyond it. Team adds larger allowances and production-oriented support, while Enterprise offers custom deployment and security arrangements. The pricing page distinguishes performance storage, archive storage, sandbox time and out-of-region access, so the total is not simply a flat subscription. Developers should evaluate a representative workload with its actual data-access pattern and region. Archil's model-independent approach allows it to sit beneath different agent frameworks, but integration still requires engineering work to connect permissions, lifecycle management and the application's chosen model or orchestration layer.
