// AI NATIVE STACK

The AI Native Stack — tool by tool.

A crash-course map of the cloud-native AI ecosystem, organized like the CNCF AI Native landscape: 4 groups, 25 categories, 107 tools. One short, practical article per tool — what it is, why it exists, how to use it, and when to skip it.

live — article ready soon — planned

AI Agent

The application layer — frameworks, tools, memory, and retrieval that turn a model into an agent.

Knowledge Graph 3

Protocol 2

State and Memory 2

Workflow Orchestration 4

AI Native Infra

The platform layer — what schedules, serves, stores, and secures AI workloads on Kubernetes.

Governance, Policy and Security 3

Continuous Integration and Delivery 3

Data

Where the data lives and how it's wrangled — lakehouse formats and the science toolkit.

Inference

Serving the model — the engines and runtimes that turn weights into tokens.

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