SandboxAI: Run AI Generated Code Safely
Run AI generated code in isolated sandboxes
Listed in categories:
Open SourceArtificial IntelligenceGitHub
Description
SandboxAI is an open-source runtime designed for securely executing AI-generated Python code and shell commands within isolated sandboxes. It provides a flexible and controlled environment for running AI agents, ensuring safety and efficiency in code execution.
How to use SandboxAI: Run AI Generated Code Safely?
To use SandboxAI, install the Python client with 'pip install sandboxaiclient', then run a sandbox on your local machine using the embedded sandbox server to manage Docker containers. You can execute Python code and shell commands within the sandbox environment.
Core features of SandboxAI: Run AI Generated Code Safely:
1️⃣
Secure execution of AI-generated code
2️⃣
Isolated sandboxes for safety
3️⃣
Simple SDK for easy integration
4️⃣
Flexible control over agent permissions
5️⃣
RESTful API for custom client generation
Why could be used SandboxAI: Run AI Generated Code Safely?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Running AI models in a secure environment | ✅ | |
| # 2 | Testing AI-generated code without risk | ✅ | |
| # 3 | Integrating AI agents into existing software stacks | ✅ | |
Who developed SandboxAI: Run AI Generated Code Safely?
SandboxAI was developed by Nick Stogner and Sam Stoelinga, who are passionate about creating tools that enhance the capabilities of AI software while ensuring safety and security in code execution.