OpenSandbox and sandboxed.sh

These are complementary tools at different abstraction levels: OpenSandbox provides a managed multi-language sandbox platform with SDKs and orchestration, while sandboxed.sh is a self-hosted agent orchestrator that could use sandboxing backends to isolate Claude/Open Code execution in Linux workspaces.

OpenSandbox
74
Verified
sandboxed.sh
42
Emerging
Maintenance 22/25
Adoption 11/25
Maturity 22/25
Community 19/25
Maintenance 10/25
Adoption 10/25
Maturity 5/25
Community 17/25
Stars: 7,681
Forks: 565
Downloads:
Commits (30d): 326
Language: Python
License: Apache-2.0
Stars: 300
Forks: 33
Downloads:
Commits (30d): 0
Language: Rust
License:
No risk flags
No License No Package No Dependents

About OpenSandbox

alibaba/OpenSandbox

OpenSandbox is a general-purpose sandbox platform for AI applications, offering multi-language SDKs, unified sandbox APIs, and Docker/Kubernetes runtimes for scenarios like Coding Agents, GUI Agents, Agent Evaluation, AI Code Execution, and RL Training.

This platform allows AI developers to safely test and run their AI applications, like coding agents or those that automate web browsers, in isolated environments. You input your AI code or agent, and it provides a secure, controlled space for execution and evaluation without affecting your main systems. It's designed for AI engineers and researchers who build and deploy intelligent agents and applications.

AI development agent evaluation secure execution AI testing RL training

About sandboxed.sh

Th0rgal/sandboxed.sh

Self-hosted orchestrator for AI autonomous agents. Run Claude Code & Open Code in isolated linux workspaces. Manage your skills, configs and encrypted secrets with a git repo.

This tool helps developers automate entire software development cycles and complex operations by orchestrating AI coding agents. You provide a task, like a GitHub issue or an operational goal, and it outputs code, tested applications, or completed reports. It's designed for software development teams, MLOps engineers, and security-conscious data scientists who need to run AI agents reliably and securely.

software-development-automation MLOps AI-agent-orchestration secure-computation dev-cycles

Scores updated daily from GitHub, PyPI, and npm data. How scores work