Memory handling
The Lillo Agent Memory System provides a multi-layered approach to state management and data persistence, combining short-term state tracking with long-term data storage.
Memory Architecture
1. State Management Layer
The state management system handles temporary agent states and creation flows:
Key features:
TTL-based state expiration (24 hours)
State progression tracking
Multi-step process management
Automatic cleanup
2. Key-Value Store
The KV store provides fast access to frequently used data:
Use cases:
User session data
Agent configuration caching
Temporary state storage
Quick-access data
3. Persistent Storage
Long-term data storage in PostgreSQL:
Memory Types
1. Short-Term Memory
State Tracking
Session Data
2. Long-Term Memory
Chat History
Content History
Memory Operations
1. State Management
2. History Management
3. User Data Management
Best Practices
State Management
Clear states after completion
Handle state transitions gracefully
Implement proper error recovery
Use appropriate TTLs
Data Persistence
Cache frequently accessed data
Implement proper invalidation
Use transactions for consistency
Handle concurrent access
Memory Cleanup
Regular cache invalidation
State cleanup on completion
History pruning strategies
Error state recovery
Example Usage
Related Documentation
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