Lovelace Memory Platform gives your agents persistent, contextual memory that improves over time. Build agents that remember, learn, and evolve.
The Memory Platform uses advanced techniques to help your agents build rich, contextual understanding that improves with every interaction.
RAG-based system automatically determines what's worth remembering and when to retrieve it. Your agents remember what matters, not everything.
Infrastructure memory provides system-wide knowledge, while domain memory adapts to each workspace. Agents learn your specific context and terminology.
Memory processing happens during idle periods - consolidation, pattern detection, and schema inference run when you're not working.
The platform infers domain models from your interactions. No manual configuration - it learns your data structures and relationships over time.