Introduction to Memory

Memory serves as a central repository where agents store, organize, and retrieve information learned from conversations and interactions. Think of it as the agent’s long-term knowledge base that persists across sessions, enabling agents to remember important details, solutions, user preferences, and contextual information for future reference.

Memory enables agents to:

• Learn Continuously: Capture and retain valuable information from every interaction
• Maintain Context: Remember previous conversations and build upon them
• Improve Over Time: Use historical knowledge to provide better, more personalized responses
• Share Knowledge: Enable different agents to access common knowledge when needed
• Track Solutions: Store proven solutions and approaches for similar future problems
• Preserve Insights: Keep important findings and discoveries accessible

The Memory Dashboard provides powerful tools to explore, visualize, and manage what your agents have learned, giving you complete visibility and control over the knowledge your AI system accumulates.