KI-Agenten
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
★ 29,9 Tsd. SterneApache-2.0
Anleitung ansehen →E2B ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von e2b-dev (e2b-dev/E2B auf GitHub). Es hat 14.233 Sterne auf GitHub und 1.093 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 7. Oktober 2026 auf GitHub aktualisiert.
Secure sandboxes where AI agents run real code.
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
A secure, fast sandbox runtime where AI agents can execute safely.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.