🦾 Agent-Based AI Systems

Build autonomous AI agents that think, act, and learn to solve complex problems using LLMs and tool integration.

The Agent Loop

The agent loop represents how AI agents process goals and take action. It's a cyclical pattern that repeats until the goal is achieved.

1OBSERVE(Perception)2THINK(Reasoning)3PLAN(Strategy)4ACT(Execute)5LEARN(Update)

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Observe

Agent perceives goal and environment state

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Think

Reason about next action using LLM

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Plan

Create strategy considering tools

Act

Execute tools/APIs to take action

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Learn

Process results and update knowledge