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Agentic Patterns Atlas

Updated October 9, 2026

Overview / Description

Agentic Patterns Atlas is an AI documentation and reference resource that catalogs 36 reusable patterns for designing AI agent systems, aimed at AI engineers and system architects building agentic workflows. It is framework-neutral and draws on published research from Anthropic, Microsoft, Google Cloud, CSIRO/Data61, and LangChain, so it is not tied to any single vendor's SDK. The 36 patterns are grouped into six categories, Foundations, Workflows, Coordination, Planning, Quality, and Capabilities, and progress from simple single-agent approaches to coordinated multi-agent designs. Each pattern comes with a description and a workflow diagram, and the atlas ships 72 ready-to-use system prompts you can adapt when implementing a pattern. An interactive relationship map shows how patterns connect, and search plus saved bookmarks help you return to the ones relevant to your project. For teams in our directory deciding how to structure a multi-step agent before writing code, this is a design reference rather than a runtime tool. It appears to be a free, publicly accessible resource with no pricing shown. The limitation is that it documents and recommends patterns; it does not build, run, or test agents for you, so the implementation work still sits with your team.

Used For

Choosing and understanding architectural patterns for single-agent and multi-agent systems before implementation.

Pricing

Plan

Free

Free — publicly accessible resource (no pricing published)

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Pros & Cons

Pros

  • Documents 36 agent design patterns across six categories, from single-agent to multi-agent coordination
  • Framework-neutral, grounded in research from Anthropic, Microsoft, Google Cloud, CSIRO/Data61, and LangChain
  • Ships 72 ready-to-adapt system prompts tied to the patterns
  • Interactive relationship map shows how patterns connect
  • Search and saved bookmarks for returning to relevant patterns

Cons

  • A design reference only; it does not build, run, or test agents for you
  • Value depends on the reader already knowing their problem well enough to pick a pattern
  • No tooling or code generation, so implementation effort stays with your team
  • As a curated atlas, coverage is fixed at 36 patterns and may lag newer techniques

Questions & Answers

Alternatives

Anthropic's agent engineering guides, LangChain documentation, and Google Cloud agent design references.

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