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## Architecture
kaizen-agentic has two distinct layers:
### 1. Python framework (`src/kaizen_agentic/`)
- **`core.py` ** — `Agent` (abstract base) + `AgentConfig` (dataclass). Tracks performance, supports config updates, implements kaizen interface.
- **`optimization.py` ** — `OptimizationLoop` (runs improvement cycles, detects trends, generates recommendations) + `PerformanceMetrics` (execution time, success rate, quality scores).
### 2. Agent definitions (`agents/` — 17 files)
Markdown instruction sets read and followed by Claude. Not executables. Naming convention: `agent-{name}.md` .
| Category | Agents |
|----------|--------|
| Testing | `tdd-workflow` , `test-maintenance` , `testing-efficiency` |
| Quality | `code-refactoring` , `datamodel-optimization` , `optimization` |
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| Process | `requirements-engineering` , `keepaTodofile` , `keepaChangelog` , `keepaContributingfile` , `project-management` , `priority-evaluation` , `scope-analyst` |
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| Infrastructure | `setupRepository` , `tooling-optimization` |
| Release | `releaseManager` |
| Docs | `claude-documentation` |
| Support | `wisdom-encouragement` |
### Custodian integration
The state-hub MCP resolves the agents directory via `host_paths[hostname]` → `local_path` . Tools: `list_kaizen_agents(category?)` , `get_kaizen_agent(name)` .