ИИ-агенты
E2B
Secure sandboxes where AI agents run real code.
★ 14,2 тыс. звёздApache-2.0
Смотреть руководство →SandboxFusion — проект с открытым исходным кодом из категории «ИИ-агенты» от bytedance (bytedance/SandboxFusion на GitHub). У него 1 072 звезды на GitHub и 103 форка, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 14 июля 2026.
ByteDance's SandboxFusion: a secure sandbox for running and judging LLM-generated code in 20+ languages.
Decide whether you need just code execution or the full online-judge evaluation datasets, and which languages your workloads use.
Clone the repository and build the base and server Docker images, or set up the manual Conda and Poetry environment.
Adjust the server image's base reference as documented and start the sandbox container.
Send code-execution or judging requests to the local service and integrate it into your evaluation or RL pipeline.
Runs and returns results for snippets across Python, C++, C#, Go, Java, Node.js, TypeScript, Rust, and many more languages, with pytest, go test, JUnit, and Jest support and Jupyter-mode execution.
Supports CUDA and Python GPU workloads in addition to CPU execution.
Implements evaluation for datasets such as HumanEval, MultiPL-E, CodeContests, MBPP, MBXP, MHPP, CRUXEval, NaturalCodeBench, PAL-Math, and verilog-eval.
Documented two-image Docker build (base plus server) with host-network mode keeping the service local-only by default.
Runtime folders contain install scripts so you can add or trim language support, for example the Python runtime.
Make targets cover running with hot reload, the full test suite, individual test cases with debugging, and code formatting.
Get the sandbox source and its Docker scripts.
git clone https://github.com/bytedance/SandboxFusion.git
cd SandboxFusionBuild the base image, point the server Dockerfile at it, then build the server image, exactly as the README documents.
docker build -f ./scripts/Dockerfile.base -t code_sandbox:base .
sed -i '1s/.*/FROM code_sandbox:base/' ./scripts/Dockerfile.server
docker build -f ./scripts/Dockerfile.server -t code_sandbox:server .Host-network mode keeps it reachable only at 127.0.0.1:8080 on Linux.
docker run -d --rm --network host code_sandbox:serverIt is maintained by ByteDance's Seed foundation code team on GitHub.
Yes, it is Apache-2.0 licensed and free to self-host; you provide the compute it runs on.
No API key is needed; SandboxFusion is infrastructure that runs code for your own evaluation or training pipelines.
Simple subprocess execution is unsafe and single-language; SandboxFusion is a purpose-built, multi-language sandbox service with judging for standard code datasets built in.
Clone the repo, build the two Docker images as documented, and run the server container; the service binds to 127.0.0.1:8080.
Secure sandboxes where AI agents run real code.
A secure, fast sandbox runtime where AI agents can execute safely.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к SandboxFusion — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.