Isolation approach, agent templates, memory, and pricing side by side.
client.memory APIBoth platforms exist because running an AI agent's shell commands on your own infrastructure is a bad idea. The difference is mostly about where you start from: E2B's sandboxes are a general-purpose code-execution primitive that a lot of teams build their own agent tooling on top of. Ovrin starts one layer up — the four major coding-agent CLIs are already installed, authenticated against your key, and wired to a memory and browser layer, so the template= parameter is closer to the whole integration than the beginning of one.
If you're building a custom code-interpreter product where the agent logic is entirely your own, a general-purpose primitive gives you more room to shape. If you're standing up Claude Code, Codex, Gemini CLI or a DeepSeek-style harness against real repositories, the prebuilt templates remove a week of integration work.
you're building bespoke code-interpreter logic from scratch and want a general-purpose microVM primitive with maximum flexibility over the runtime, rather than a preconfigured agent CLI.
Same workload, one afternoon to compare. No demo call.