The Agentic AI Pattern Catalogue

Approximately sixty composable, technology-agnostic design patterns for autonomous AI agents: mapped to seventeen foundational, architectural, and operational principles across two viewable lifecycles: the runtime cognitive loop and the AgentOps development lifecycle, with comprehensive regulatory standards tracing.

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The Master Blueprint for Agentic AI

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A compiled reference, not original research. This microsite curates and reorganises a reference catalogue of agentic AI design patterns, synthesised from primary sources including Anthropic, Antonio Gulli / Google, arXiv pre-prints, AWS, Google Cloud, and Singapore's IMDA Model Governance Framework for Agentic AI. Full attribution and source list on the Standards & Sources page. It is not a standard, and standards-mesh mappings are indicative, not legal advice.

In Plain English

This page is the starting point for a big collection of building plans for AI "agents": smart computer programs that can think, plan, and act on their own, kind of like a robot helper. Each plan is called a pattern, and there are 61 of them, all written down in the same clear way. This matters because AI agents built without a plan can make mistakes, act unsafely, or do things nobody can explain. These patterns are tested ideas that help engineers build agents people can trust.

You do not need to read everything at once. Pick one of four paths: see a big chart of all the patterns at once (Matrix), read short summaries grouped by the companies and researchers who invented them (Field Guide), look up full details for one pattern at a time (Deep Catalogue), or check the safety rules each pattern follows (Standards & Sources).

61composable patterns
17governing principles
91field guide references
14standards & frameworks traced
2lifecycle lenses
3

Foundational

Principles that define what the agent is: autonomy, goal alignment, governance-by-design.

8

Architectural

Principles that define how it is built: perception, reasoning, memory, tools, planning, orchestration.

6

Operational

Principles that define how it runs in production, oversight, observability, guardrails, evaluation.

Four ways into the same catalogue.

Start shallow with the Field Guide, or go deep on a single pattern. Every view cross-references the same underlying data.

How the catalogue is organised

One pattern and its four coordinates

AUT-DSN-01Autonomy Tier ClassificationTier IClassify every agent by the reversibility and blast radius of the actions it may take, and bound its permissions accordingly.Full entry in the Deep Catalogue
Governing principleF-01 Bounded AutonomyFoundational, one of 17 principles. Sets the matrix row.Read on: Matrix
Runtime stage02 Reason / PlanOne of 7 steps in the loop the agent runs each turn. Sets the column in the Runtime lens.Read on: Matrix
AgentOps stage01 Design & ScopeOne of 7 stages the team runs the agent through. Sets the column in the AgentOps lens.Read on: Matrix
Standards meshIMDA MGF · EU AI Act · NIST AI RMF · AAGMM4 frameworks this pattern helps satisfy, each to a named clause.Read on: Standards & Sources

Worked example from the catalogue data: AUT-DSN-01, Autonomy Tier Classification. Every one of the 61 patterns carries the same four coordinates, which is how the Matrix, Deep Catalogue and Standards views cross-reference one another.

Software architecture matured once its patterns were codified. Data architecture is following the same arc. Agentic AI is at the earliest phase: patterns are described variously across blog posts, vendor docs, one book, and a handful of arXiv pre-prints.

This catalogue treats each design decision as a reusable primitive, a named solution to a recurring problem in a specific context, rather than as a framework feature. Reflection is a pattern; LangGraph is an implementation.

Read the full method note and honest caveats →

Wooden building blocks stacked into a small tower, representing composable design patterns
Terence Kok
Before You Go

This catalogue took longer to build than almost anything else on this site, because I wanted every pattern traced back to where it came from: Anthropic, Google Cloud, IMDA's framework, not paraphrased secondhand. I keep coming back to it myself when a client asks how a specific guardrail should work, because it's faster than re-deriving the answer from scratch. Start with the Field Guide if 61 patterns feels like a lot, it's meant to be read in pieces, not one sitting.

Terence Kok