Overview
Agent Sandbox is an experimental project by Kubernetes SIGs that enables easy management of isolated, stateful, singleton workloads ideal for AI agent runtimes on Kubernetes. It provides a Kubernetes-native sandbox for running, orchestrating, and managing autonomous agent workloads securely and at scale within cluster environments.
Key Features
- Kubernetes-native integration using CRDs and Controllers to express and manage agent lifecycles.
- Security isolation at the container and Pod level to reduce risks during agent execution.
- Scalable orchestration supporting parallel and coordinated agent executions with Kubernetes scheduling and autoscaling.
Use Cases
- Agent runtime testing and validation of behavior and resource usage in real cluster environments.
- Multi-agent orchestration evaluating coordination and fault-tolerance strategies for distributed systems.
- Security and compliance evaluation testing agent access patterns and policies in isolated environments.
Technical Details
- Hosted under the Apache-2.0 license with example manifests, controller code, and runtime adapters.
- Prototype-first design serving as a research and evaluation platform for experimenting with runtimes and orchestration strategies.
- Supports reproduction and extension of experiments across different Kubernetes cluster setups.