git:20260507.8dfdcb4 to git:20260507.9f5be95

---

name: self-optimization

description: SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.

allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch, Agent, AskUserQuestion

graph:

domains: [domain:software-engineering]

skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop]

workflows: [workflow:feature-development]

topics: [topic:developer-experience]

roles: [role:tech-lead, role:backend-engineer]

- Improving routing and agent selection over time

- Adapting to new project patterns without forgetting old ones

- Building cross-session intelligence

## SONA Cycle

1. **Extract Patterns** - Mine execution data for recurring patterns

2. **RETRIEVE** - Search ReasoningBank for matching trajectories

3. **JUDGE** - Evaluate trajectory applicability in current context

4. **DISTILL** - Compress and store new entries

5. **Adapt** - Update weights with EWC++ regularization

## Anti-Forgetting (EWC++)

- Elastic Weight Consolidation prevents overwriting previously learned patterns

- Fisher information matrix tracks parameter importance

- Configurable regularization penalty for new adaptations

## RL Algorithms

Q-Learning, SARSA, PPO, DQN, A2C, TD3, SAC, DDPG, Rainbow

## Agents Used

- `agents/optimizer/` - Performance tuning

- `agents/adaptive-queen/` - Real-time adaptation

## Tool Use

Invoke via babysitter process: `methodologies/ruflo/ruflo-intelligence`