# evoiz/Agentic-Design-Patterns

Repository: https://github.com/evoiz/Agentic-Design-Patterns
Canonical: https://ross.abutalabs.com/products/evoiz-agentic-design-patterns
Language: Jupyter Notebook
License Family: other
Last push: 2026-07-24T14:23:04+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 35, longevity 24
- inputs: {"age_days": 346, "days_push": 40, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3039, forks 478 (observed 2026-08-28T04:07:38.424508+00:00)

## What it is
A companion repository for the book 'Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems' by Antonio Gulli, containing the full book PDF and Jupyter notebooks for 21 chapters and 7 appendices. It teaches hands-on patterns for building AI agent systems, from prompt chaining and routing to multi-agent collaboration and production guardrails.

## Use cases
- learn agentic design patterns for building AI agents
- study multi-agent system patterns with code examples
- understand prompt chaining, routing, and parallelization techniques
- learn how to build production-ready LLM agents
- find hands-on notebooks for memory management and planning in agents
- learn about MCP and tool use in AI agents

## When to choose
- you want a structured, book-style guide to designing AI agent systems
- you prefer learning through runnable Jupyter notebook examples
- you need coverage of both foundational and production agentic patterns

## When to avoid
- you need a production agent framework or library to deploy
- you want a lightweight quick-start rather than a 424-page comprehensive guide
- you require a permissively licensed codebase, as the license is educational

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, prompt-engineering, rag, mcp, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, education
- platform: python, cross-platform
- tags: agentic-patterns, book, jupyter-notebooks, multi-agent-systems, hands-on-guide, ai-agents

## Member repositories
- evoiz/Agentic-Design-Patterns (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:38.424508+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:29:15.737855+00:00, confidence not recorded.
  - readme: https://github.com/evoiz/Agentic-Design-Patterns (fetched 2026-08-28T04:07:38.424508+00:00, sha b800d613d149)
- Data as of 2026-08-30T08:39:29.467469+00:00.