Designing the Agent's Brain (Architecture) › The Agent Loop: A Simple Pattern
Michael BrenndoerferJuly 9, 20251 min read
AI Agent HandbookAll chapters Part 7 of 15Agent State and Architecture - Putting It All Together
Designing the Agent's Brain (Architecture) › The Agent Loop: A Simple PatternOne section · Sections in this chapter2 / 14 ↓
Sections in this chapter14
At its core, most AI agents follow a straightforward pattern. Let's call it the agent loop:
- Receive input: The user asks a question or makes a request
- Update state: Add the input to memory and update what the agent knows
- Decide: Figure out what to do (use a tool, reason through the problem, or just respond)
- Act: Execute the decision (call a tool, generate a response, etc.)
- Respond: Send the result back to the user
- Repeat: Go back to step 1 for the next interaction
This pattern might sound simple, but it's surprisingly powerful. It gives your agent a clear structure for handling any request, from a basic question to a complex multi-step task.
Let's see what this looks like in practice. We'll start with a minimal version and then build it up.