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alibabaSandbox platform for AI and LLM applications
Top 57.4% on SourcePulse
OpenSandbox is a universal sandbox platform designed for AI application scenarios, offering multi-language SDKs, a unified sandbox protocol, and flexible runtimes for LLM-related capabilities. It targets engineers and researchers needing to standardize interactions with diverse execution environments, such as command execution, file operations, code interpretation, and agent execution, thereby accelerating AI development and deployment.
How It Works
The platform defines a unified sandbox protocol for managing sandbox lifecycles and execution APIs, allowing for extensibility. It provides SDKs in Python, Java/Kotlin, and JavaScript/TypeScript, with Go support on the roadmap. The system supports Docker and Kubernetes runtimes for scalable, distributed sandbox scheduling. Built-in environments include Command, Filesystem, and Code Interpreter, with examples for integrating Coding Agents, browser automation, and desktop environments. This approach offers a consistent interface across varied execution backends.
Quick Start & Requirements
git clone https://github.com/alibaba/OpenSandbox.git && cd OpenSandboxserver/, copy example.config.toml to ~/.sandbox.toml, and run uv run python -m src.main.uv pip install opensandbox-code-interpreter.examples/ directory. Architecture details are in docs/architecture.md.Highlighted Details
Maintenance & Community
The project is actively developed, with GitHub Actions for continuous integration. Community discussions and feature requests are managed via GitHub Issues.
Licensing & Compatibility
Licensed under the Apache 2.0 License, permitting use for personal or commercial projects in compliance with license terms.
Limitations & Caveats
Go SDK support is currently on the roadmap. Kubernetes runtime implementation is ongoing. Advanced network egress control features, such as declarative isolation and Layer 2 network control, are also listed as future roadmap items.
1 day ago
Inactive
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