# nibzard/awesome-agentic-patterns

A curated catalogue of awesome agentic AI patterns

Repository: https://github.com/nibzard/awesome-agentic-patterns
Canonical: https://ross.abutalabs.com/products/awesome-agentic-patterns
Homepage: https://agentic-patterns.com/
Language: HTML
License: Apache-2.0
License Family: permissive
Last push: 2026-08-25T21:28:11+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 32
- inputs: {"age_days": 459, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4911, forks 462 (observed 2026-08-28T04:09:02.288948+00:00)

## What it is
A curated catalogue of agentic AI patterns — repeatable, real-world workflows and mini-architectures for building autonomous or semi-autonomous AI agents, backed by public references. It includes a companion website with browsing, filtering, comparison, decision-guide, and graph-visualization tools over 190+ patterns.

## Use cases
- find design patterns for building AI agents
- learn how production agent systems handle memory and context
- compare orchestration patterns for multi-agent systems
- choose reliability and eval patterns before building an agent
- discover safety and human-in-the-loop patterns for LLM agents
- research how teams ship agents in production

## When to choose
- you are architecting an AI agent system and want field-tested patterns with references
- you want a decision guide or comparison of agent design approaches before implementation
- you need curated reading material on agent orchestration, safety, memory, and evals

## When to avoid
- you need runnable code or a framework rather than a reference catalogue
- you want step-by-step tutorials for beginners rather than pattern references
- you need a specific library to integrate into your codebase

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, large-language-models, awesome-lists, developer-tools
- platform: cross-platform
- tags: awesome-list, agentic-ai, curated-catalogue, design-patterns, llm-agents, agent-architecture, ai-agents, web-server

## Member repositories
- nibzard/awesome-agentic-patterns (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:02.288948+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 2026-08-29T18:18:04.349804+00:00, confidence not recorded.
  - readme: https://github.com/nibzard/awesome-agentic-patterns (fetched 2026-08-28T04:09:02.288948+00:00, sha 4fa85eee0d75)
  - homepage: https://agentic-patterns.com/ (fetched 2026-08-29T09:00:06.140528+00:00, sha 24caee7cd3e5)
- Data as of 2026-08-30T08:39:29.467469+00:00.