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---
name: daa-agent
description: "Create and adapt Dynamic Agentic Architecture agents that learn and evolve"
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"
category: ai-agents-and-harness
source_repo: ruvnet/ruflo
source_path: "plugins/ruflo-daa/skills/daa-agent/SKILL.md"
source_url: https://github.com/ruvnet/ruflo/blob/HEAD/plugins/ruflo-daa/skills/daa-agent/SKILL.md
---
# 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 |
---
**Source:** [`ruvnet/ruflo`](https://github.com/ruvnet/ruflo) → `plugins/ruflo-daa/skills/daa-agent/SKILL.md`