Definition
A process within an AI agent framework where tasks are executed, their outcomes are evaluated, successful reasoning patterns are extracted as reusable skills, these skills are refined over time with new data, and then retrieved for future tasks. This cyclical process allows the agent to improve its performance on specific tasks.
Why it matters (in Poovi’s context)
This is the core innovation of Hermes Agent, enabling agents to become more capable and efficient over time, unlike traditional stateless agents.
Key properties or components
- Task Execution
- Outcome Evaluation
- Skill Extraction
- Skill Refinement
- Skill Retrieval
Contradictions or debates
None.