Agent Memory
Agent Memory manages conversation context, decision history, and learned patterns through short-term context windows, long-term persistent storage, and retrieval strategies. Critical for stateful agent interactions: track conversation history, remember user preferences, prevent repeated decisions, and maintain context across sessions. Patterns include immediate context current conversation, sliding window last N messages, and long-term storage vector databases with retrieval.
- Radar Signals0