Create Dynamic Self-Learning Agents

v20260707

daa-agent

This utility facilitates the creation and management of Dynamic Agentic Architecture (DAA) agents. Unlike static systems, DAA agents are designed to continuously learn from interactions, adapt their behavior based on performance metrics, and propagate knowledge across multiple agents. It provides comprehensive tools for agent creation, monitoring learning progress, checking performance, manual adaptation, and knowledge sharing, ensuring robust and evolving AI workflows.

AI Agent Architecture Learning Adaptation Automation Intelligence Workflow

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Overview

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__claude-flow__daa_agent_create with initial configuration and learning parameters
Monitor learning — call mcp__claude-flow__daa_learning_status to see adaptation progress
Check performance — call mcp__claude-flow__daa_performance_metrics for efficiency and accuracy metrics
Adapt — call mcp__claude-flow__daa_agent_adapt to trigger manual adaptation based on feedback
Share knowledge — call mcp__claude-flow__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

Info

Category Artificial Intelligence

Name daa-agent

Version v20260707

Size 1.49KB

Source ruvnet/ruflo

Updated At 2026-07-09