 Profa
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b70ef3566e
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fix: v1.8.4 - Learning persistence and hook schema fixes
This release fixes critical issues preventing learning data persistence
and pre-edit hook failures in QE agents running as Claude Code subagents.
## Fixed Issues
### 1. Memory Manager Fragmentation (#66)
- Multiple isolated SwarmMemoryManager instances caused data fragmentation
- Implemented singleton pattern via MemoryManagerFactory
- All components now share same database connection
- Data properly persists across agent executions
### 2. Database Closure on Exit (#66)
- sql.js (WASM SQLite) requires explicit close() to persist
- Added process exit handlers (SIGINT, SIGTERM, exit, uncaughtException)
- Ensures data survives process termination
### 3. Memory Backup Schema Mismatch
- memory-backup.ts referenced 'namespace' but schema uses 'partition'
- Also referenced 'timestamp' instead of 'createdAt'
- Fixed all 5 affected lines (80, 84, 85, 132, 134)
- Pre-edit hooks now work without "no such column: namespace" errors
## Changes
### Added
- src/core/memory/MemoryManagerFactory.ts - Singleton pattern implementation
- Process exit handlers for graceful database closure
- getSharedMemoryManager(), initializeSharedMemoryManager(), resolveDbPath()
### Modified
- src/mcp/server.ts - Use singleton memory manager
- src/mcp/services/AgentRegistry.ts - Use singleton memory manager
- src/mcp/handlers/phase2/Phase2Tools.ts - Use singleton memory manager
- src/mcp/handlers/memory/memory-backup.ts - Fixed schema column names
- src/core/memory/index.ts - Export factory functions
### Documentation
- Fixed GitHub URLs from ruvnet/agentic-qe-cf to proffesor-for-testing/agentic-qe
- Updated CLAUDE.md, skills, and guides
## Testing
- Verified singleton pattern with test project
- Confirmed learning data persists (3 experiences, 3 Q-values, 3 patterns)
- No temp_*.db files created
- Database grows correctly (26MB with new data)
- Average reward: 0.93 (excellent performance)
Closes #66
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-11-20 08:52:28 +00:00 |
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Profa
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5a2883a4a0
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chore: Initial release v1.0.0
Agentic Quality Engineering Fleet - AI-driven quality management platform
Features:
- 16 specialized QE agents for comprehensive testing
- AI-powered test generation with 95% coverage targets
- O(log n) sublinear algorithms for massive scale
- Parallel test execution with intelligent orchestration
- Real-time coverage analysis and gap detection
- Smart quality gates with ML-driven decisions
- Security scanning (SAST, DAST, dependency analysis)
- Performance testing with load orchestration
- Flaky test detection with automatic stabilization
- API contract validation with breaking change detection
- Test data generation (10,000+ records/sec)
- Production intelligence (convert incidents to tests)
- Chaos engineering for resilience testing
- MCP integration with Claude Code
- Multi-framework support (Jest, Mocha, Cypress, Playwright)
Architecture:
- TypeScript implementation
- MCP (Model Context Protocol) integration
- Claude Code agent orchestration
- Event-driven agent coordination
- Distributed fleet management
- Cross-session memory persistence
Documentation:
- Complete API documentation (TypeDoc)
- User guides (Getting Started, MCP Integration, Test Generation, etc.)
- Architecture deep-dive
- CLI reference
- Contributing guidelines
- MIT License
Tech Stack:
- TypeScript 5.3+
- Node.js 18+
- @anthropic-ai/sdk ^0.64.0
- @modelcontextprotocol/sdk ^1.18.2
- Jest for testing
- Winston for logging
- SQLite for persistence
Project Structure:
- src/ - Source code (agents, core, MCP, CLI)
- tests/ - Comprehensive test suite
- docs/ - Complete documentation
- .claude/ - Agent definitions and commands
- config/ - Configuration files
🤖 Generated with Claude Code
https://claude.com/claude-code
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-09-30 19:59:56 +00:00 |
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