Can coding agents really work autonomously on Islo?

Yes. Each agent runs on its own persistent computer with your repo, dependencies, services, browser, and scoped tool access. It picks up a task or ticket, keeps working after you disconnect, verifies the result, and returns finished work, whether a pull request, report, or evidence, while you focus elsewhere.

How can I trust autonomous agents on Islo?

Start with one workflow you already understand and expand only after you trust what that loop returns. Each run happens in an isolated computer with scoped tool access, verifies against your real stack, and returns evidence you can inspect, including screen recordings. Use evals to score agent behavior before rolling workflows out broadly. Gateway policies, credential controls, and per-request audit limit what agents can do, and your team still approves merges and releases.

Which coding agent harnesses can run on Islo?

Claude Code, Codex, and Cursor run natively with `islo use --agent claude`, `--agent codex`, or `--agent cursor`. Islo is harness-agnostic infrastructure, so you can also run your own agent or eval setup on the same persistent computer and tool connections.

Can agents use GitHub, Slack, Linear, Jira, and our internal tools?

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 agent infrastructure ourselves 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.

Is Islo just another sandbox like E2B or Daytona?

You can use Islo for isolated agent compute, like E2B or Daytona. But Islo is more than a sandbox: persistent environments, scoped tool access, verification, and orchestration so agents pick up tickets, work in your real stack, and return finished work autonomously.

Do I need Islo if my agent already runs in Docker?

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 Agents or Claude Code for Web?

Those are hosted agents tied to one vendor’s model and environment. Islo is harness-agnostic infrastructure you can run on Islo or in your own cloud (BYOC), with gateway policies you control. It is also built for evals: isolated computers, credential controls, and audit for agent benchmarks and custom harnesses, not just browser-based coding sessions.