AI Agents
E2B
Secure sandboxes where AI agents run real code.
★ 14.2k starsApache-2.0
View guide →A secure, fast sandbox runtime where AI agents can execute safely.
OpenSandbox is an open-source ai agents project by opensandbox-group (opensandbox-group/OpenSandbox on GitHub). It has 15,717 GitHub stars and 1,445 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Start with one concrete task rather than a grand architecture.
Clone the repo and check the examples folder for a quickstart.
Install packages, set environment variables, and point it at your model.
Execute the demo workflow, then adapt it to your own data.
Agents execute without host access.
Sandboxes spin up quickly for agent loops.
Adapt the runtime to your tooling.
Designed to scale across clusters.
Built for AI workloads, not generic VMs.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/opensandbox-group/OpenSandbox.git
cd OpenSandboxCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyopensandbox-group/OpenSandbox is its home on GitHub, with 1445 forks so far. The contributors tab and recent commits show how actively it is maintained.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
The runtime is free and self-hosted; you bring your own models.
Docker is general containerization; OpenSandbox is a runtime tuned for agent execution patterns - fast spin-up, tool integration, and agent-aware isolation. Many teams use both, layered.
Follow the README quickstart, then browse the examples directory for patterns that match what you want to build.
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Free and open — grab the source, star the repo, and start creating.