Create agents with Dynamic Agentic Architecture that adapt and learn over time.
When you need agents that go beyond static configurations — agents that adapt their behavior based on performance metrics, learn from interactions, and share knowledge with other agents.
mcp__claude-flow__daa_agent_create with initial configuration and learning parametersmcp__claude-flow__daa_learning_status to see adaptation progressmcp__claude-flow__daa_performance_metrics for efficiency and accuracy metricsmcp__claude-flow__daa_agent_adapt to trigger manual adaptation based on feedbackmcp__claude-flow__daa_knowledge_share to propagate learnings to other agents| Aspect | Static Agent | DAA Agent |
|---|---|---|
| Behavior | Fixed configuration | Adapts over time |
| Learning | None | Continuous from interactions |
| Knowledge | Isolated | Shared across agents |
| Performance | Constant | Improves with use |