Agent Workflow Patterns

To build consistent autonomous agent workflows in CCOS, use reusable templates for discovery, planning, execution, learning, and governance to standardize multi-step processes. This enforces structured capabilities orchestration and session management.

The best way to manage multi-step agent goals across sessions is using a session-based workflow pattern that aggregates plans and executes capabilities sequentially. This allows you to handle multi-capability goals consistently over time.

To handle missing capabilities and errors during agent execution, apply gap and error handling templates that resolve missing functions and retry safely. This structured approach ensures workflows recover from failures and learn from them.

CCOS supports governance and auditing for autonomous agent workflows by enforcing approval checks and capturing decisions for replay. This governance-first pattern ensures all automated actions are verified and auditable.

To automate a daily operational report using CCOS agent workflows, start a session with ccos_session_start, plan tasks with ccos_plan, execute via ccos_execute_capability, and consolidate with ccos_consolidate_session. This structures the goal from discovery to execution.