Datasets:

ai-systems
/

ai-system-patterns

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

{
  "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.