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feat: Implement Meta-Cognitive System with self-improving capabilities
This commit introduces a comprehensive meta-cognitive architecture that enables
the agent to monitor, analyze, and optimize its own cognitive processes.
Core Components:
- Meta Controller: Central orchestrator for meta-cognitive operations
- Monitor: Real-time performance tracking and anomaly detection
- Learner: Pattern learning from execution history
- Reflector: Deep reflection on cognitive decisions
- Optimizer: Adaptive parameter tuning and strategy optimization
Backend Enhancements:
- Enhanced graph_rag with improved retrieval algorithms
- Extended semantic memory for better knowledge persistence
- Upgraded rate limiter with adaptive throttling
- Updated cognitive router to support meta-cognitive routing
Testing:
- Added fusion_integration_test.rs for comprehensive integration tests
- Added integration_meta_cognitive_test.rs for meta-cognitive validation
- Added meta_simple_test.rs for basic functionality tests
Breaking Changes:
- Removed deprecated openclaw_executor.rs.new
Total: +3399 lines, -471 lines across 16 files