Sandbox Agent by Rivet is an experimental framework for running AI agents in controlled, isolated environments where they can safely execute code, interact with tools, and perform autonomous tasks without risking system integrity. It is designed to provide a secure sandbox that allows agents to test actions, manipulate files, and run commands while enforcing strict boundaries and monitoring capabilities. The project focuses on enabling more reliable and auditable agent behavior by separating execution from the host environment, which is especially important for applications involving automation, code generation, or system-level operations. Developers can use Sandbox Agent to simulate real-world workflows, debug agent decisions, and evaluate outcomes in a contained setting before deploying to production. It also supports extensibility, allowing integration with custom tools, APIs, and workflows tailored to specific use cases.
Features
- Isolated execution environment for safe AI agent operations
- Ability to run code, commands, and file interactions securely
- Monitoring and control over agent actions and behavior
- Support for testing and debugging autonomous workflows
- Integration with external tools and APIs within sandbox constraints
- Designed for safe deployment of agent-based automation systems