Everything coding agents need.

Islo deploys and runs autonomous coding agents in secure environments connected to your tools, so they can finish real engineering work.

agent computer
cpu2 vCPU · 4 GB
disk10 GB SSD
staterunning
a real computer · wired to everything an agent needs
start withand more
onIslo cloudyour cloudyour customers' cloud
task

Checkout + onboarding on main

boot stack
run checkout flow
run onboarding flow
export pass/fail report
agent
browser.goto("https://app.local/checkout")
$GITHUB_TOKENplaceholder only
islo gateway
Bearer $GITHUB_TOKENBearer ••••••••4f2a
injected at egress · per-request audit
api.github.com
200 OK
key never touched sandbox memory
allowpreview stackapp.localprivate
denyproduction APIsno prod keysblocked
sim-agent · 4 services
postgres:5432
seeded
api:8000
live
web:3000
under test
browser
clicking flows
sim-agent
$ islo use sim-agent
sim-agent resumed

Pay only while it runs.

this use case2h simulation suite · 2 vCPU / 4 GB → ≈ $0.62

Pay only while the computer runs: CPU + memory + disk. No seat licenses, no idle fees.

CPU time
$0.07/CPU-hour
per core while the env runs
Memory
$0.04/GB-hour
per GB you provision
Storage
$0.0007/GB-hour
per GB of disk
$50 free credits on signup · no card required

Common questions

What is Islo?

Islo deploys and runs autonomous coding agents in secure environments connected to your tools, so they can finish real engineering work.

Which tools can agents access?

Agents can use GitHub, Slack, Linear, Jira, databases, browsers, and your internal services. Islo also supports custom integrations, so you can connect any tool or API your agents need through scoped gateway policies.

Should we build this in-house or use Islo?

Build it in-house if owning agent infrastructure is a strategic advantage for your product. Spinning up a sandbox is the easy part. The ongoing work is keeping environments reliable, controlling which tools and services agents can reach, handling credentials safely, preserving state, and understanding every action an agent took when something goes wrong. Islo owns that operational and security layer, so your team can focus on the agent workflows that differentiate your product.

How is Islo different from sandbox providers like E2B, Modal, or Daytona?

Sandbox providers give you isolated compute for executing code. Islo deploys and runs autonomous agents through complete engineering workflows. Agents pick up tickets, work in your real development environment, use tools through scoped gateway policies, verify the result, and return finished work. The sandbox is one part of the system; Islo operates everything the agent needs to work autonomously.

My agent already runs in a container. Why do I need Islo?

A container gives you isolation, not a place for an agent to actually work. Islo adds persistent computers that survive restarts, scoped tool access without handing over tokens, a real browser and services to verify work, per-request audit, and the option to run in your own VPC. It is built for long-running autonomous agents, not one-off code execution.

How is Islo different from Cursor Cloud, Devin, or Claude Code for web?

Those are hosted agents tied to one vendor’s model and environment. Islo is agent-agnostic infrastructure: run Claude Code, Cursor, Codex, or your own agent on your real stack, in your cloud, connected to your tools through gateway policies you control. You own the environment, the credentials, and the data without being locked to a single agent.

Put autonomous agents to work.