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ruvnet / daa-agent

Create and adapt Dynamic Agentic Architecture agents that learn and evolve

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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__plugin_ruflo-core_ruflo__daa_agent_create with initial configuration and learning parameters
  2. Monitor learning — call mcp__plugin_ruflo-core_ruflo__daa_learning_status to see adaptation progress
  3. Check performance — call mcp__plugin_ruflo-core_ruflo__daa_performance_metrics for efficiency and accuracy metrics
  4. Adapt — call mcp__plugin_ruflo-core_ruflo__daa_agent_adapt to trigger manual adaptation based on feedback
  5. Share knowledge — call mcp__plugin_ruflo-core_ruflo__daa_knowledge_share to propagate learnings to other agents

DAA vs static agents

AspectStatic AgentDAA Agent
BehaviorFixed configurationAdapts over time
LearningNoneContinuous from interactions
KnowledgeIsolatedShared across agents
PerformanceConstantImproves with use