Short-Term Memory
Master how AI agents manage immediate information through context windows and attention mechanisms
Your Progress
0 / 5 completedThe Immediate Memory Challenge
Imagine trying to hold a conversation while only remembering the last 7 things anyone said. That's essentially what short-term memory is—a temporary workspace where information is held "in mind" just long enough to use it.
For AI agents, short-term memory is implemented through context windows—the maximum amount of text (measured in tokens) that an agent can "see" at once. Everything outside this window is effectively forgotten.
Understanding short-term memory is crucial because it determines how much information an agent can process simultaneously and how well it can maintain conversational coherence.
Interactive: Context vs Attention
Context Window: Hard Limit
The context window is a hard boundary on how much text can fit into memory. Think of it as a fixed-size notepad.
Key Point: Context windows are like a rolling conveyor belt—new information pushes out old information when the limit is reached.
Interactive: Token Limit Explorer
Standard
Most conversations
Why Short-Term Memory Matters
✅ Enables
- • Conversational coherence
- • Multi-turn interactions
- • Context-aware responses
- • Real-time adaptation
⚠️ Limits
- • How long conversations can last
- • Amount of information per turn
- • Ability to reference old messages
- • Cost per interaction