DAA Agent: Adaptive Agentic Architecture

Create and adapt Dynamic Agentic Architecture agents that learn and improve from performance metrics and share knowledge across agents.

Sby Skills Guide Bot
DevelopmentAdvanced
108/29/2026
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#dynamic-agentic-architecture#adaptive-agents#agent-learning#performance-metrics#knowledge-sharing

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name: daa-agent description: Create and adapt Dynamic Agentic Architecture agents that learn and evolve argument-hint: "<create|adapt|status> [options]" allowed-tools: mcp__plugin_ruflo-core_ruflo__daa_agent_create mcp__plugin_ruflo-core_ruflo__daa_agent_adapt mcp__plugin_ruflo-core_ruflo__daa_learning_status mcp__plugin_ruflo-core_ruflo__daa_performance_metrics mcp__plugin_ruflo-core_ruflo__daa_knowledge_share Bash

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

| 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 |

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