Platform comparison
AgentSky vs E2B
E2B provides isolated Linux microVM sandboxes and a Python/JS SDK — you build the agent loop, wire the model, manage state, and write every integration. AgentSky delivers a complete running cloud agent (harness + model + persistent computer + channels) behind a single call. E2B is infrastructure; AgentSky is the agent.
What is E2B
E2B is an open-source sandbox platform using Firecracker microVMs that start in under 200 ms. It gives AI agents a secure place to execute code, with Python and JavaScript SDKs and integrations into popular LLM frameworks — but the agent loop, model selection, state management, and connectors are your responsibility.
What is AgentSky
AgentSky is a cloud agent platform — the OpenRouter for agents. One API call picks a harness (Claude Code, Codex, Hermes, OpenClaw, or four others) and a model; AgentSky provisions a persistent, crash-resistant compute environment with optional 2000+ channel connectors on the same call. Six of the eight harnesses have no official managed cloud form anywhere else.
Feature comparison
How they compare
| Cloud agent platformAgentSky | Sandbox infrastructureE2B | |
|---|---|---|
| What you get | A running cloud agent — maintained harness, model, persistent state, and channels — behind one API call | An isolated sandbox VM and an SDK; you write the agent loop, wire the model, manage state, and build integrations |
| Time to first agent run | Seconds — pick harness and model, call the API, task is running | Hours to days — implement agent loop, wire LLM, handle sandbox lifecycle, serialize and restore state |
| State and persistence | Persistent computer that survives crashes, network drops, and closed laptops; resumes mid-task automatically | Sandbox lives only while alive; state must be serialized and restored by your code on each restart |
| Model choice | 8 harnesses paired with any supported model; BYO Claude or ChatGPT subscription reduces model cost to $0 | Model-agnostic — wire any LLM you want; you pay the model provider separately at API rates |
| Channels and connectors | 2000+ built-in connectors (Gmail, Sheets, Slack, GitHub, Linear, and more) declared as add-ons on the same API call | No built-in connectors; integrations are code you write and execute inside the sandbox |
| Pricing model | $3 free credit, no card required; pay per task at list pricing; BYO subscription eliminates model cost | $0.0504/vCPU-hr + $0.0162/GiB-hr billed per second; Pro plan adds $150/month base; no free tier |
| Open-source / self-hostable | Managed cloud service; no self-host option | Core sandbox runtime is open-source and can be self-hosted on Firecracker infrastructure |
| Best for | Teams delegating tasks to maintained, crash-resistant agents immediately without building agent infrastructure | Teams building custom agent products that need fast, auditable, open-source execution sandboxes |
Pricing and features reflect publicly available information; verify current plans directly with each provider.
When to choose E2B
E2B is the right choice for these workloads
Choose E2B when you are building your own agent product and need a reliable, open-source sandbox primitive with full control over the runtime environment — for example, executing untrusted user-generated code, building a custom AI coding assistant, or needing an on-premises or self-hostable execution layer. E2B is also the right choice when your organization requires custom Linux images, specific kernel configurations, or fine-grained sandbox lifecycle control that a managed agent platform cannot expose.
FAQ
Common questions
Complete agent infrastructure
