AI agent infra

Build AI agents
on Sandbox0

Sandbox0 gives AI agents durable workspaces, isolated execution, network control, and credential-safe runtime access through direct sandbox runtime primitives.

Prompt for your agent

Read https://sandbox0.ai/llms.txt

Runtime primitives

Build agent systems on explicit sandbox primitives.

Sandbox0 exposes the runtime, storage, network, and credential boundaries agent products need after the demo.

sandbox

Sandbox

Claim isolated runtimes from templates, pause and resume work, expose ports, and run processes.

volume

Volume

Persist repositories, caches, checkpoints, and artifacts with snapshot, restore, and fork workflows.

network

Network policy

Apply per-sandbox egress and public gateway rules instead of relying on process discipline.

credential

Credential-safe access

Project supported outbound auth on the egress path so raw secrets do not need to live in agent code.

Runtime guarantees

The infrastructure pieces agents need after the demo.

Agent products tend to grow past stateless model calls. Sandbox0 keeps runtime, storage, network, and credentials under explicit infrastructure control.

state

Persistent workspaces

Keep repositories, caches, artifacts, and checkpoints across sandbox lifecycles.

runtime

Isolated execution

Run commands, tools, app servers, and long-lived sessions inside controlled sandboxes.

policy

Network control

Apply per-sandbox egress and public gateway rules instead of relying on process discipline.

secrets

Credential-safe access

Project supported outbound auth on the egress path so raw secrets do not need to live in agent code.

Build your agent infrastructure on Sandbox0.

Use Sandbox0 when your architecture needs direct control over runtime, storage, network, and credentials.

Read docs