daa-agent
Create and adapt Dynamic Agentic Architecture agents that learn and evolve
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
- Create agent — call
mcp__plugin_ruflo-core_ruflo__daa_agent_createwith initial configuration and learning parameters - Monitor learning — call
mcp__plugin_ruflo-core_ruflo__daa_learning_statusto see adaptation progress - Check performance — call
mcp__plugin_ruflo-core_ruflo__daa_performance_metricsfor efficiency and accuracy metrics - Adapt — call
mcp__plugin_ruflo-core_ruflo__daa_agent_adaptto trigger manual adaptation based on feedback - Share knowledge — call
mcp__plugin_ruflo-core_ruflo__daa_knowledge_shareto propagate learnings to other agents
DAA vs static 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 |
Loading supporting files
ruvnet/claude-flow · MIT · Revision 005a0ed25e64
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