AI Agents
smolagents
smolagents — Hugging Face's barebones agent library where agents think in code: a CodeAgent that writes its actions as Python, model-agnostic, Apache-2.0
★ 29.9k starsApache-2.0
View guide →Secure sandboxes where AI agents run real code.
E2B is an open-source ai agents project by e2b-dev (e2b-dev/E2B on GitHub). It has 14,233 GitHub stars and 1,093 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 7 October 2026.
Choose one real workload to test the project against.
Clone it locally and read through the getting-started guide.
Install the stack it needs and set any environment variables.
Execute the starter example and check results before going further.
Isolated environments for agent code execution.
Run agent-generated code safely.
Beyond code — tooling for capable agents.
Positioned for production agent deployments.
Easy integration from Python agent code.
Permissive licensing.
Install the Python SDK from PyPI.
pip install e2b-code-interpreterSign up per the docs and export your key.
export E2B_API_KEY=your_key_hereFollow the docs quickstart to execute your first sandboxed snippet.
# see https://docs.e2b.dev for the quickstartIt is maintained by e2b-dev at e2b-dev/E2B, with 1,093 forks.
The open-source runtime is free under Apache-2.0; the hosted cloud is usage-based — check current pricing.
The open-source code is free, but the hosted sandbox cloud is metered. Self-host if you want to avoid usage fees.
Compare with Daytona, Modal, and Firecracker-based options on isolation guarantees and developer experience.
Read the docs quickstart, install the SDK, grab an API key, and run your first sandbox.
smolagents — Hugging Face's barebones agent library where agents think in code: a CodeAgent that writes its actions as Python, model-agnostic, Apache-2.0
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