perpetual-agents

Build perpetual agents by applying purpose-driven design patterns and event handling logic within the Agent Operating System (AOS). Define a purpose with success criteria and manage the agent lifecycle to ensure continuous autonomous operation.

State persistence for autonomous agents is managed via ContextMCPServer, which maintains and retrieves the agent's operational state across cycles. This ensures long-term memory and consistent behavior without losing context between events.

A perpetual agent is an autonomous AI entity designed for continuous, long-term operation towards a defined purpose rather than isolated task execution. You need one for use cases like customer support agents that must learn and persist knowledge indefinitely.

Test and debug purpose-driven agents by following specific testing patterns for long-term operational AI within AOS. Validate event handling, state persistence via ContextMCPServer, and lifecycle management to ensure reliable continuous execution.

Yes, ContextMCPServer enables state persistence for autonomous agents, allowing them to maintain an evolving knowledge base across operations. This supports continuous learning and consistent application of persistent state over the agent's lifecycle.

Perpetual agents require robust state persistence and lifecycle management to handle continuous operation, unlike traditional task-based agents. They must be designed with explicit purpose and success criteria to prevent unbounded or unintended long-term autonomous behavior.