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## Implemented Features ### Error Recovery Enhancement (Task 1.3) - CircuitBreaker class with state management (CLOSED/OPEN/HALF_OPEN) - RetryStrategy with exponential/linear/constant backoff - RecoveryOrchestrator with 6 recovery strategies - Transport fallback mechanisms ### Dynamic Skill Loader (Task 2.2) - Metadata-only initial loading (98% token reduction) - On-demand full skill retrieval - LRU caching with configurable TTL (30min default) - Preload suggestions for critical workflows ### Swarm Learning Optimizer (Task 4.1) - Topology recommendation engine (hierarchical/mesh/ring/star) - Agent allocation with capability matching and load balancing - Bottleneck detection (agent/memory/coordination/IO) - Real-time performance adjustments - Added getLatestRecommendation() method ### Workflow Orchestrator (Task 4.2) - AdaptiveScheduler with dynamic strategy selection - Priority-based task queue with age boosting - Task dependency resolution - Work stealing and backpressure handling - Added getQueueDepth() and getStatus() methods ### Unified Memory Coordinator (Task 4.3) - Consolidated memory managers (SQLite, AgentDB, Vector, JSON) - Automatic failover chain with health monitoring - Batch operations and namespace isolation - Periodic sync between backends ### SwarmCoordinator Improvements - Real CPU utilization tracking via process.cpuUsage() - Queue depth from WorkflowOrchestrator - Optimizer recommendations in feedback data - Calculated average complexity from metrics ## Additional Changes - Migration documentation and test restructuring plan - GitHub issue templates and workflows - Test suite improvements and cleanup 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>