Files
gogo2/memories.md
Dobromir Popov a86e07f556 tools
2025-10-09 13:58:43 +03:00

55 lines
2.2 KiB
Markdown

# AI Assistant Memories
## Memory System Status
**No AI Assistant Memory System Found**
After searching through the project, I found that there is no AI assistant memory system currently implemented or configured. The memory-related files found in the project are:
1. **COBY/monitoring/memory_monitor.py** - System memory monitoring for performance optimization
2. **core/model_output_manager.py** - Model output storage and management
3. **core/prediction_snapshot_storage.py** - Prediction data storage
4. **core/trade_data_manager.py** - Trading data capture and storage
5. **utils/database_manager.py** - Database management for trading system
## What These Files Contain
### System Memory Monitoring
- **COBY/monitoring/memory_monitor.py**: Monitors system memory usage, detects memory leaks, and optimizes garbage collection for the trading system
- Tracks memory snapshots, object counts, and garbage collection statistics
- Provides memory usage trends and leak detection
### Trading Data Storage
- **core/model_output_manager.py**: Stores model outputs for cross-model feeding and evaluation
- **core/prediction_snapshot_storage.py**: Stores prediction snapshots for future training
- **core/trade_data_manager.py**: Captures comprehensive model inputs during trade execution
- **utils/database_manager.py**: Manages SQLite database for trading system logging and metadata
## Missing AI Assistant Memory System
The project does not have:
- MCP memory server configuration
- AI assistant persistent knowledge base
- Conversation history storage
- User preference memory
- Project context memory
## Recommendation
If you want to implement an AI assistant memory system, you would need to:
1. Set up an MCP memory server
2. Configure memory storage for AI assistant context
3. Implement memory persistence across sessions
4. Add memory management tools to the available tool set
## Current Memory-Related Tools Available
The only memory-related tools currently available are:
- System memory monitoring (COBY/monitoring/memory_monitor.py)
- Trading data storage systems
- Model output management
- Database management for trading metadata
**Note**: These are all related to the trading system's data storage and performance monitoring, not AI assistant memories.