Secure cloud sandboxes for AI agents. Run AI-generated code safely in isolated environments.
E2B is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view e2b-dev/e2b --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 106 days ago.
4100 GitHub stars indicate community interest.
22 open issues signal maintenance load.
MIT license detected.
2 security/trust notes recorded.
Setup difficulty is 3/5.
Official NVIDIA-verified skills for AI agents to use CUDA-X libraries and platform tools correctly.
Official Elastic Agent Skills library for AI coding agents to work with Elasticsearch, Kibana, Observability, and Security.
Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
Open-source LLM app development platform. Build AI workflows, RAG pipelines, and agents with a visual interface.
E2B provides secure sandboxed cloud environments where AI coding agents can execute code, install packages, and access the internet without risking your local machine.
4,100
Stars
380
Forks
22
Issues
MIT
License
Secure cloud sandboxes for AI agents. Run AI-generated code safely in isolated environments.
AI Tool Developers, Security-conscious teams
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Cloud-based, isolate from your local machine API key required for access
Similar or complementary options to evaluate include NVIDIA Agent Skills, Elastic Agent Skills, Agent-CI.
Aug 20, 2026