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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.
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