Give every AI agent a nano computer.
Sandock gives coding agents files, terminal, browser previews, POSIX volumes, and lifecycle APIs so they can keep state, resume work, and evolve across tasks.
Disposable runtimes make agents forget their work.
Build a workflow around Persistent Cloud Sandbox for AI Agents.
A computer-shaped sandbox
Files, terminal, browser, preview, volumes, lifecycle, and API in one agent runtime.
Persistent enough to evolve
Agents can pause, resume, inspect prior work, and build on project context instead of starting over.
Built for coding-agent products
Run Claude Code, Codex, MCP servers, browser agents, and custom agent workflows without building infra first.
Give Claude Code, Codex, or your custom agent a cloud computer that keeps project state.
The practical building blocks behind Persistent Cloud Sandbox for AI Agents.
Specialized agents. One shared workspace. Every output is a reviewable artifact, not a black box.
POSIX persistent volumes
Keep repos, dependencies, caches, generated files, and task artifacts across agent runs.
Terminal and file APIs
Let agents run commands, inspect output, write files, and continue work through API calls.
Browser previews
Support web app debugging loops with preview URLs and browser-oriented workflows.
Hi Maya — saw your team is opening the Austin facility in Q3. We helped Northwave hold service levels through a 31% spike — worth a 20-min call?
Lifecycle control
Create, start, pause, resume, and delete sandboxes as part of agent orchestration.
Spin up your persistent cloud sandbox for ai agents pod in 30 minutes.
Pick a workflow, assign the agents, watch the first artifact land. Free pilot — no credit card.
Start with the workflow that hurts today.
Pick one workflow with repeated demand, visible ownership, and measurable output. Buda gives that team agents, memory, tools, and a shared workspace.
AI coding agents
Give Claude Code, Codex, or your custom agent a cloud computer that keeps project state.
Start this workflowMCP server hosting
Run MCP tools in isolated environments with controlled files, commands, and lifecycle.
Start this workflowBrowser automation
Let agents run app previews, inspect behavior, and debug web workflows in the sandbox.
Start this workflowStart with one useful workflow, then expand.
Four weeks. One workflow. A clear, measurable outcome before you scale.
Choose one workflow
Start with AI coding agents. Keep the scope narrow enough that the output is easy to review.
Assign agents and controls
Create the workspace, invite members, assign agents, define files, tools, and usage boundaries.
Measure output and spend
Review artifacts, credit usage, ownership, and execution history before expanding scope.
Expand or stop cleanly
If the workflow proves value, repeat the model in another team. If not, you still have a governed record.
Give your agent a computer it can return to.
Start with a persistent cloud sandbox and build toward long-running agent workflows.