Transform stateless AI interactions into ongoing relationships. Enable your agents to remember conversations, learn from experience, and build knowledge over time.
Most AI interactions are frustratingly stateless. SmartMemory creates the continuity that transforms isolated responses into meaningful relationships.
Agents remember what you discussed yesterday, eliminating the need to repeat yourself constantly.
AI agents build knowledge over time, understanding your preferences and improving with each interaction.
Reference past conversations and maintain context across sessions for truly intelligent dialogue.
SmartMemory mirrors human cognitive architecture through specialized memory systems operating at different scales and persistence levels.
Session-based active context within a single conversation.
Completed sessions stored as searchable conversation history.
Factual knowledge stored as searchable JSON documents.
Behavioral templates and skills accessible across all sessions.
Actor-based architecture with intelligent session management and multi-level search capabilities.
Start a working memory session with a dedicated Actor instance that maintains conversational state with strong consistency.
Store memories with timeline organization, agent attribution, and temporal metadata during active conversations.
End sessions with AI-powered summaries that preserve searchable detail while enabling long-term episodic storage.
Enable sophisticated AI applications that learn, remember, and adapt over time.
Remember customer preferences and conversation history for personalized support experiences.
Learn user routines and preferences to provide increasingly helpful and context-aware assistance.
Maintain project context and shared knowledge across team interactions and decision-making processes.
Track learning progress and adapt teaching methods based on student performance and interaction history.
Enable agents to share knowledge while maintaining individual conversation threads and learning experiences.
Build comprehensive understanding of user behavior and preferences through accumulated interaction data.