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Robust Long-Term Memory

Empowers large language models with a persistent, human-like memory module that integrates seamlessly outside the model itself.

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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.

Características Principales

  • 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

Casos de Uso

  • 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
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