Daa Agent

This lets you create agents that actually learn and adapt over time instead of staying locked in their initial configuration. You get five core operations: spin up new agents with learning parameters, monitor how they're adapting, check performance metrics like efficiency and accuracy, manually trigger adaptations based on feedback, and share learned knowledge across multiple agents. The knowledge sharing piece is interesting because it means insights from one agent can propagate to others. Worth considering if you're running multiple agents and want them to get better at their jobs without constant manual reconfiguration.

skills.sh installs: 745
GitHub stars: 81.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill daa-agent --agent claude-code

Installs into .claude/skills of the current project.

Files

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