Detailed Introduction
OpenKruise Agents is an AI agent sandbox lifecycle manager from the OpenKruise community, delivering declarative workflows via Kubernetes Operators and Custom Resource Definitions (CRD) to cover allocation, reclamation, and session governance. It targets cloud-based AI research notebooks, desktops, and reinforcement learning sandboxes, offering fast elasticity, low cold starts, and state preservation across GPU resources. By decoupling agent runtimes from underlying compute, it keeps platform, engineering, and operations teams aligned. These foundations enable a focused set of agent-centric capabilities.
Main Features
The following features help teams ship sandboxed agent workloads faster.
- Resource pooling and dynamic scaling: Multi-tenant pools, on-demand instantiation, and elastic reclamation reduce GPU and storage costs.
- Sandbox hibernation and checkpointing: Sleep and resume memory, writable layers, and GPU VRAM to shorten repeat startup times and improve experience.
- Identity and session management: Built-in user identity, traffic routing, and session stickiness reduce reliance on ad-hoc Kubernetes Service wiring.
- Unified APIs and SDKs: Ships both Kubernetes CRD APIs and E2B SDK, enabling integrations from platform engineering to application code. These traits map directly to common needs across research and operations.
Use Cases
Current scenarios the project supports include:
- Research notebooks and developer desktops: Provide network-accessible, persistent interactive sandboxes for algorithm and application engineers.
- Reinforcement learning and human-feedback training: Support human-in-the-loop and open-world testing with stability for long-running jobs.
- Large-scale data training and tuning: Speed up multi-job scheduling through quick starts and automatic resource reclamation. These scenarios shape the underlying technical choices.
Technical Features
From an engineering perspective, OpenKruise Agents offers:
- Kubernetes control-plane alignment: Operator patterns coordinate multi-component state with observability, auditability, and rollback guarantees.
- Pluggable sandbox implementations: Built-in sandbox APIs while remaining compatible with Sig Agent-Sandbox for runtime flexibility.
- Multi-tenant security isolation: Network, identity, and data isolation to safely host multiple teams in a single cluster.