Provides AI coding agents with a secure, sandboxed environment for executing coding tasks including file operations, command execution, and testing. Features session management, policy enforcement, and Docker-based sandboxing for safe code execution and development workflows.
Enables LLMs to safely execute code in isolated Docker containers with resource limits and security controls, supporting session management and automatic dependency installation.
Enables AI assistants to execute Python, JavaScript, Bash, and Go code in blazing-fast (~0.1ms startup), isolated cloud containers with secure, ephemeral environments that auto-destroy after use.
Enables AI assistants to interact with and manage Kubernetes clusters, supporting operations on pods, deployments, services, configmaps, secrets, namespaces, metrics, and events with built-in safety features for destructive actions.
Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.
