opensandbox-group/OpenSandbox
OpenSandbox
Secure, Fast, and Extensible Sandbox runtime for AI agents.
Usage guide
OpenSandbox is an open-source project around ai-agent, ai-infra, kubernetes with 11,230 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in Python, useful for judging integration effort in a similar stack.
- GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating OpenSandbox for Python AI workflows.
- Comparing a GitHub project with 11,230 stars and current repository activity.
Pros
- OpenSandbox has visible GitHub traction with 11,230 stars. Topics: ai, ai-agent, ai-infra.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
OpenSandbox should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
OpenSandbox architecture preview
OpenSandbox's main path starts at the entry surface, runs through Coding agent runtime, combines LLM / model client, Runtime context, External tool adapters, and returns Assistant response / action result.
Entry
Web / product entry
Users start from a web UI, hosted product surface, or browser-based workflow.
https://open-sandbox.ai
Runtime
Coding agent runtime
The runtime reads developer intent, inspects repository context, plans edits, and returns code-oriented actions.
coding workflow
Model
LLM / model client
The project connects its core runtime to local models or hosted AI APIs when model inference is required.
model signal
Context
Runtime context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
External tool adapters
Tool adapters let the runtime act outside the model through External tool adapters.
tool signal
Output
Assistant response / action result
The final result is a response, action, or task completion returned through the active channel.
assistant output
Featured video
XavkiEn
Alibaba launches OpenSandbox #opensource #ai #computerscience
1,299 views · 2026-03-03
Install tutorial
Before you install
- Python runtime and an isolated virtual environment
- A clean working directory for the first test run
Check the runtime environment
OpenSandbox depends on a Python-style environment. Use venv, conda, or a container to keep dependencies isolated.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/opensandbox-group/OpenSandbox.gitInstall or build dependencies
Run the next setup command detected from the project documentation.
$ uv pip install opensandbox-code-interpreterTroubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented OpenSandbox example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is OpenSandbox?
OpenSandbox is an open-source ai agents project. Secure, Fast, and Extensible Sandbox runtime for AI agents.
How do I install OpenSandbox?
Start with the official README. The first detected setup step is: git clone https://github.com/opensandbox-group/OpenSandbox.git.
Is OpenSandbox beginner-friendly?
If you already know the Python ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can OpenSandbox be used commercially?
GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does OpenSandbox need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt OpenSandbox?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.