DAA Agent

Create agents with Dynamic Agentic Architecture that adapt and learn over time.

When to use

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.

Steps

1. Create agent — call mcp__claude-flow__daa_agent_create with initial configuration and learning parameters
2. Monitor learning — call mcp__claude-flow__daa_learning_status to see adaptation progress
3. Check performance — call mcp__claude-flow__daa_performance_metrics for efficiency and accuracy metrics
4. Adapt — call mcp__claude-flow__daa_agent_adapt to trigger manual adaptation based on feedback
5. Share knowledge — call mcp__claude-flow__daa_knowledge_share to propagate learnings to other agents

DAA vs static agents