---
license: apache-2.0
language:
- en
pretty_name: AI System Patterns
tags:
- ai-systems
- agents
- orchestration
- ai-agents
- system-design
- world-models
- validation
- interoperability
size_categories:
- n<1K
---

# AI System Patterns

A compact reference dataset of reusable architectural patterns for modern AI systems.

The dataset focuses on practical system-design concepts across AI agents, orchestration, memory, validation, observability, interoperability, world models, Physical AI, data pipelines, and production operations.

Each row contains:

- `pattern`
- `category`
- `description`
- `components`
- `use_case`
- `complexity`

## Example

```json
{
  "pattern": "Model Routing",
  "category": "Orchestration",
  "description": "Routes each request to the model best suited for the task based on capability, latency, cost, modality, or policy.",
  "components": ["router", "model registry", "evaluation signals", "fallbacks"],
  "use_case": "Multi-model AI systems",
  "complexity": "medium"
}
```

## Intended Uses

- AI system architecture references
- taxonomy experiments
- lightweight classifiers
- retrieval and search demos
- documentation examples
- agent architecture exploration
- educational tools

## Limitations

This is a curated reference dataset, not a benchmark and not a comprehensive taxonomy of all AI system architectures. The `complexity` field is intentionally approximate.

## License

Apache-2.0

## Maintainer

Published by **ai-systems** as a practical reference dataset for AI systems and agent infrastructure.