AIARCOAIARCOASC
Agents

Persistent workspaces.
Built for agents.

Long-running, isolated workspaces with persistent disk for agentic and MCP workloads. Pause when idle, resume in milliseconds — never pay for a sleeping agent.

python
1from asc import Workspace
2
3# Create or attach to a persistent workspace
4ws = await Workspace.from_id(
5 "user-42",
6 cpu=1, mem="2Gi",
7 disk="20Gi", # persists across hibernations
8)
9
10await ws.fs.write("/work/notes.md", "Hello, agent!")
11print(await ws.exec("ls /work").stdout)
12
13# Idle hibernation in 60s — billing pauses automatically.
<0ms
Cold start
0+
GPUs burstable
0%
Uptime SLA
Features

Designed for production.

Hibernate + wake

Idle agents hibernate within seconds; wake on the next message with full state intact.

Persistent volumes

Each workspace gets its own disk that survives restarts, migrations and code updates.

Shell, files, browser

Built-in tools: PTY shell, filesystem API, headless browser, jupyter — all sandboxed.

MCP-native

Workspaces speak Model Context Protocol out of the box. Plug into Claude, Cursor, ChatGPT.

Per-tenant isolation

Network policies and resource quotas enforced per workspace — safe for multi-user agents.

Observability

Stream every tool call, command and HTTP request to your own OpenTelemetry collector.

Pricing

Metered. No markup.

Pay per active second / per GiB. Free tier covers small projects; $200/mo cap until you opt in. See the full calculator.

Line itemUnitRate (USD)
Workspace 1 vCPUper hour (active)$0.046
Sandbox 0.25 vCPUper hour (active)$0.014
Persistent storageper GiB-month$0.026
Egressper GiB$0.098

Ship your first deploy in minutes.

Free $30/month of compute. No card required.