Episodic Memory
Stores conversational context and interaction history to maintain continuity across sessions.
Profile Memory
Maintains long-term user facts, preferences, and personalization data for more relevant AI responses.
Multi-Session Persistence
Memory persists across multiple sessions, agents, and different large language models.
Model-Agnostic Architecture
Supports multiple AI models simultaneously, including those hosted in private cloud or on-premises environments, avoiding vendor lock-in.
Multiple Integration Methods
Provides RESTful API, Python SDK, and MCP Server integration options for connecting AI agents to the memory core.
Graph and SQL Database Storage
Uses graph databases for episodic memory and SQL databases for profile memory storage.