Datasetpublic

ai-systems/ai-system-patterns

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 { "pattern": "Model Routing", "category": "Orchestration"… See the full description on the dataset page: https://huggingface.co/datasets/ai-systems/ai-system-patterns.

sourceHugging Faceapache-2.0updated 14d agoView on Hugging Face

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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.