Overview

Agent Substrate is a revolutionary, secure-by-default agent execution runtime designed to host millions of sandboxed applications, achieving 10x greater density than traditional container solutions. Built from the ground up for the age of autonomous agents, it delivers unparalleled performance with sub-500ms resume times and over 500 suspend/resume activations per second. At its heart, Agent Substrate employs heavy multiplexing by mapping numerous "actors" (applications) onto a minimal set of "workers," leveraging the typically idle nature of agent workloads for maximum efficiency. It provides robust lifecycle management and seamless traffic routing, all while building upon Kubernetes for infrastructure orchestration.

Key Features

• Massive Scalability: Run millions of sandboxed actors with significantly higher density than standard container runtimes.
• Ultra-Low Latency: Achieve sub-500ms actor resume operations with over 500 suspend/resume activations per second.
• Secure-by-Default: Implements native zero-trust kernel and network isolation for enhanced security.
• Flexible Sandbox Support: Integrates with multiple sandbox technologies, including microVMs and gVisor, for consistent operations.
• Efficient Multiplexing: Maps a large number of idle actors onto a smaller pool of active workers for superior resource utilization.
• State Persistence: Guarantees perfect preservation of volatile RAM and filesystem state across suspend/resume cycles via full-state snapshots.
• Kubernetes Native: Leverages Kubernetes for infrastructure provisioning and worker lifecycle management, enabling unified management of agentic deployments.
• Framework Agnostic: Compatible with agents built on any stack, supporting various frameworks like Agent Development Kits (ADK), LangChain, Claude Code, and Model Context Protocol (MCP).

Typical Use Cases

Agent Substrate is ideal for scenarios demanding high-density, low-latency execution of numerous stateful, often idle, applications, particularly:

• Autonomous Agent Orchestration: Deploy and manage vast fleets of AI agents, ensuring their state is preserved and they can be reactivated rapidly.
• Large-Scale Inference Deployments: Host numerous inference models or model components, optimizing resource usage by multiplexing them onto shared worker infrastructure.
• Stateful Application Hosting: Run applications that require persistent memory and filesystem state across repeated invocations or suspend/resume cycles.
• Complex Agentic Workflows: Enable intricate workflows involving multiple agents, sub-agents, and tools, with seamless state transfer and execution.
• Secure, Sandboxed Development/Execution Environments: Provide isolated, ephemeral environments for code execution or testing that maintain state across sessions.