ColtMercer

ColtMercer / agentic-design-patterns

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Consumable summaries of Agentic Design Patterns by Antonio Gulli — 21 patterns, cheat sheets, and implementation guides

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Found Mar 24, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A reference collection of 21 cheat sheets distilling design patterns from a book on building reliable autonomous AI agents.

How It Works

1
🔍 Find the Guide

You stumble upon a friendly online guide that shares simple recipes for making smart AI helpers work better.

2
📖 Learn the Basics

You read the easy explanation of what makes an AI a helpful agent that thinks, acts, and learns.

3
🗺️ See the Pattern Map

You check the colorful map showing how different recipes build on each other for stronger AI.

4
🎯 Pick Your Recipe

You spot the perfect pattern for your goal, like making AI safer or faster, from the handy lists by use case.

5
📄 Dive into Details

You click into the cheat sheet for step-by-step ideas and examples tailored just for that pattern.

🚀 Build Smarter AI

Now you have reliable tricks to make your AI projects more predictable, safe, and powerful.

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AI-Generated Review

What is agentic-design-patterns?

This GitHub repo distills Antonio Gulli's "Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems" into cheat sheets and implementation guides for 21 agentic AI design patterns. It tackles unreliable LLM apps at scale by offering patterns like reflection, multi-agent collaboration, RAG, and guardrails, with examples across LangChain, CrewAI, and Google ADK frameworks. Developers get quick references, use-case tables, and pattern maps to build predictable autonomous agents fast.

Why is it gaining traction?

It skips book-length theory for one-liners, layered diagrams, and framework-specific code snippets that devs can copy-paste into agentic design patterns projects. The hook is tailored starters like "production-ready" tables for exception handling or resource optimization, plus ties to protocols like MCP and A2A. No other agentic design patterns GitHub summary matches this structured, actionable format from the Springer book.

Who should use this?

AI engineers scaling LLM pipelines to multi-agent setups, backend devs implementing tool use or human-in-the-loop for chatbots, and system architects designing reliable agent workflows. Ideal for teams using LangChain or CrewAI who need patterns like planning, memory management, or safety guardrails without trial-and-error.

Verdict

Worth bookmarking as a free agentic design patterns Antonio Gulli reference, even with just 12 stars and 1.0% credibility score reflecting its fresh, single-file maturity. Strong docs make it a low-risk starter; test patterns in your stack before committing to the full book.

(178 words)

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