self-optimization ยท diff
git:20260507.9f5be95 to git:20260601.da7723a
34 added, 34 removed. Audit A to A.
- ---
- 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
+ ---
+ 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`
+ - 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`