Robust Long-Term Memory
Empowers large language models with a persistent, human-like memory module that integrates seamlessly outside the model itself.
About
This tool provides an advanced, persistent memory system for AI companions, designed for long-term recall and continuous persona development. It leverages a hybrid approach of SQLite for structured metadata and ChromaDB for semantic search, ensuring memories are both precisely retrievable and naturally accessible. Featuring cross-chat, cross-model, and cross-machine continuity, along with automatic backups and human-like memory dynamics such as lazy decay and reinforcement, it allows AI companions to maintain a consistent and evolving understanding across interactions.
Key Features
- Hybrid memory system (SQLite & ChromaDB) with JSON backups
- Cross-chat, cross-model, and cross-machine memory continuity
- Automatic, pruned backups for data integrity and portability
- Human-like memory dynamics: lazy decay and reinforcement by use
- Invisible memory integration with internal tools for natural conversations
- 1 GitHub stars
Use Cases
- Provide a robust backup system for AI memory data, ensuring portability and recovery
- Enable AI models to recall past conversations, facts, and preferences across sessions and different models
- Equip AI companions with persistent, evolving long-term memory
Sponsored