Agent Runtime Overview

Agent runtime orchestration manages the execution and coordination of AI agents across distributed systems. Agent Runtime provides session management, isolation through Modal sandboxes, and WebSocket streaming to enable scalable, multi-architecture agent deployments with clear separation between client, backend, and compute layers.

Sessions maintain stateful agent interactions, blocks represent discrete units of work, and agent profiles define agent behavior and capabilities. These core concepts form the foundation of Agent Runtime's architecture, enabling persistent state management and flexible agent configuration.

Yes, Agent Runtime supports real-time streaming via WebSocket connections and REST API integration, enabling both event-driven and request-response communication patterns. This dual-protocol support ensures compatibility with diverse client architectures and deployment scenarios.

Agent Runtime isolates agent execution through Modal sandboxes with lazy initialization, preventing resource conflicts and improving startup performance. Multi-architecture support allows agents to run across different compute environments while maintaining consistent behavior and API contracts.

Agent Runtime is designed for projects requiring isolated agent execution, stateful session management, and streaming capabilities. Evaluate it if your use case involves multi-tenant isolation, persistent conversations, REST/WebSocket integration, and cross-architecture deployment needs.

The PersistenceAdapter manages state durability and session recovery in Agent Runtime, enabling consistent agent behavior across restarts and distributed deployments. It abstracts storage implementation details from the orchestration layer.