Ara vs E2B
E2B runs ephemeral code sandboxes. Ara runs persistent AI agents with a full OS, desktop access, and 14 messaging channels.
E2B provides open-source cloud sandboxes for AI agents and apps, powered by Firecracker microVMs. With over 200 million sandboxes started, E2B is used by companies like Perplexity and Hugging Face for ephemeral code execution. Their SDK-first approach (Python and JS/TS) makes it easy to spin up isolated environments for running AI-generated code.
https://e2b.dev →Feature comparison
| Feature | Ara | E2B |
|---|---|---|
| Session persistence | Persistent with S3 backups | Ephemeral (max 24 hours) |
| AI runtime included | ZeroClaw (91K lines of Rust) | ✗ |
| LLM providers | 13+ via built-in proxy | BYO API keys |
| Messaging channels | 14 (WhatsApp, Telegram, Slack, etc.) | ✗ |
| Desktop access | Full Linux desktop via KasmVNC | ✗ |
| Isolation | Incus containers + btrfs | Firecracker microVMs |
| Client apps | Desktop app + web console | SDK only (Python, JS/TS) |
| Provisioning speed | Sub-second (btrfs snapshots) | ~150ms (Firecracker) |
Different tools for different jobs
E2B and Ara solve fundamentally different problems. E2B is infrastructure for running code — you send it a snippet, it executes in an isolated sandbox, and the sandbox disappears. Ara is a platform for running AI agents — persistent environments where an AI assistant lives, works, and connects to the outside world.
With E2B, you integrate their SDK into your application and use it as a code execution backend. With Ara, you get a complete AI agent that runs 24/7 in its own container, accessible through a desktop app, web console, or any of 14 messaging channels.
Persistence vs. ephemeral
E2B sandboxes are ephemeral by design — they exist for a single task and are destroyed afterward, with a maximum lifetime of 24 hours. This is ideal for code execution, but it means there's no continuity between sessions.
Ara sessions persist. Your AI agent's workspace is backed up to S3 every 3 minutes. You can stop a session, come back days later, and pick up exactly where you left off. Files, configurations, installed packages — everything is preserved.
The AI runtime difference
E2B provides the sandbox — you bring your own AI. You need to build the agent logic, handle LLM API calls, manage tool execution, and wire everything together yourself.
Ara includes ZeroClaw, a purpose-built AI agent runtime written in 91,000 lines of Rust. It handles multi-turn conversations, tool execution, LLM provider routing across 13+ providers, and connections to 14 messaging channels. You don't build an agent on Ara — you use one.
Pricing
E2B offers a free tier with $100 in credits, a Pro tier at $150/month, and custom Enterprise pricing. Their usage-based model charges per sandbox-second.
Ara starts free with 25 credits, Pro at $19/month with 500 credits, and Unlimited at $39/month with 1,000 credits. For teams and individuals who want a persistent AI agent rather than ephemeral code execution, Ara's pricing is significantly more accessible.
E2B is excellent at what it does — fast, ephemeral code execution for AI-generated snippets. If you need to run untrusted code in a throwaway sandbox, E2B is a strong choice. But if you need a persistent AI agent that lives on its own server, connects to your messaging apps, and works across multiple LLM providers, Ara is built for that from the ground up. E2B gives you a sandbox. Ara gives you an assistant.