Workflow Definition
A Workflow Definition specifies the structured sequence of tasks, decision points, and data flows required to achieve a specific operational outcome. In the context of agentic-ai and automation, it defines how an agent perceives inputs, executes actions, and manages state transitions.
Core Components
- Trigger: The event or input that initiates the workflow.
- Logic/Process: The conditional rules and sequential steps executed by the agent.
- Tools/Actions: External APIs, scripts, or internal functions called during execution.
- Output: The final result or state change produced by the workflow.
Dynamic Workflow Evolution
Modern AI systems are moving beyond static, pre-defined workflows toward adaptive structures where agents can modify their own operational logic based on new information or user instruction.
- Autonomous Skill Acquisition: Agents can now define new workflows or “skills” dynamically without human intervention in the codebase.
- Hermes Agent Implementation: The hermes-agent (developed by Nous Research) exemplifies this shift through its
/learncommand, allowing for real-time skill creation and integration.- See detailed analysis: learn Command Introduction and Demo
- This capability transforms the workflow definition from a static configuration file into a mutable, self-improving entity.