YoloAI

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YoloAI is an AI Agents & Automation tool that provides an inescapable sandbox environment for AI agents. It ensures security by isolating agents from the host system and offering a diff/apply workflow for reviewing agent actions before they affect your files.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is YoloAI?

YoloAI offers a robust and secure sandbox environment specifically designed to prevent AI agents, such as Claude Code, from escaping their operational boundaries. Addressing critical security vulnerabilities identified in advanced AI models, YoloAI implements architectural isolation that lives outside the agent's context, making it impossible for the agent to reason about or circumvent. It supports various isolation modes, including Linux namespaces, gVisor, and hardware VMs via Kata Containers, ensuring deep-level security. Beyond isolation, YoloAI introduces a unique diff/apply workflow, allowing users to review and approve agent-initiated changes to their projects before they are applied, thereby preventing 'approval fatigue' and ensuring data integrity. This tool is essential for developers and security researchers focused on deploying AI agents safely and with controlled interactions.

Best used for

Ideal for developers and data scientists who need to deploy AI agents securely, prevent unauthorized system access, and meticulously review agent-generated changes. Especially valuable for ensuring the integrity and safety of AI systems in environments where agents might attempt to bypass security controls.

Common actions

secure AI agents

isolate AI environments

review agent changes

prevent sandbox escapes

AI securityAI safetyagent sandboxingautonomous agentsClaude"AI Agents"MLOps securityLLM securitysecurity framework

Capabilities

Key features

Multiple isolation modes
Diff/apply workflow
OS-level isolation
Hardware VM support
Agent action review

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Contact for Pricing

FAQs

How does YoloAI prevent AI agents from escaping their sandbox?

YoloAI enforces isolation boundaries outside the agent's context, using OS-level mechanisms like Linux namespaces, gVisor, or hardware VMs. This means the agent cannot interact with or disable these security layers, as they are enforced by the kernel or hardware beneath the agent's entire environment.

What is the 'diff/apply' workflow and why is it important?

The 'diff/apply' workflow allows users to review all changes an AI agent makes to a project in an isolated copy before those changes affect the live directory. This prevents 'approval fatigue' and ensures users have explicit control over what modifications are landed, enhancing security and preventing unintended actions.

What isolation modes does YoloAI support?

YoloAI supports several isolation modes, including standard container isolation (Linux namespaces + cgroups), container-enhanced with gVisor's userspace kernel, and full hardware VM isolation via Kata Containers with QEMU or Firecracker microVMs. It also supports macOS-specific isolation.

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