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feat: Complete Ralph Swarm multi-agent orchestration system
Major Features Implemented: - Multi-agent swarm coordination with specialized roles (developer, optimizer, tester) - Ralph-StackMemory bridge integration for each agent - SQLite database connectivity with proper FrameManager API - Git workflow management with automatic branch creation and cleanup - Worktree conflict resolution for repeated test runs - Resource monitoring and performance tracking - Agent cleanup optimization and memory management Technical Achievements: - Fixed FrameManager API compatibility (createFrame vs pushFrame) - Resolved database dependency issues with proper adapter initialization - Implemented worker iteration loops for each Ralph instance - Added comprehensive error handling and lint compliance - Enhanced git branch management for parallel agent work Test Results: - Database initialization and connectivity: WORKING - Multiple Ralph loop execution (10 iterations per agent): WORKING - Agent coordination and task completion tracking: WORKING - Git workflow integration with branch management: WORKING - Resource monitoring (50MB per agent estimation): WORKING - Cleanup mechanisms for agent lifecycle management: WORKING The swarm system successfully orchestrates multiple Ralph Wiggum instances working collaboratively on complex tasks with shared context and coordination. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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.ralph/completion-criteria.md

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- All tests pass
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- Code works correctly
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- No lint errors
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Feature works correctly
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Handles edge cases
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Follows coding standards
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