# Agent Architecture

> Design autonomous AI systems with planning, memory, and tool execution

- **Category**: Cloud
- **Subcategory**: gcp
- **Canonical URL**: https://designpattern.fyi/patterns/gcp_agent_architecture/

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## Description
The Agent Architecture pattern designs autonomous AI systems that can plan, execute, and iterate on complex tasks. This includes agent loops (perceive-plan-act-observe), memory systems (working, episodic, semantic), tool orchestration, and multi-agent collaboration. GCP provides Vertex AI for model hosting and various integrations for agent capabilities.


## Use Cases
Use when building autonomous systems that can perform multi-step tasks, research operations, or complex decision-making.





## Trade-offs


### Advantages

- Handles complex multi-step tasks

- Autonomous problem-solving

- Adaptable to changing requirements

- Can integrate multiple tools and APIs




### Considerations & Drawbacks

- Complex to design and debug

- Higher computational costs

- Requires careful safety guardrails

- Potential for unexpected behavior







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**Reference**: [Original Source](https://cloud.google.com/vertex-ai/docs/generative-ai/agents)