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KnowledgeMay 13, 2026·2 min de lecture

Awesome Agentic Patterns — Practical Blueprints

awesome-agentic-patterns is a curated catalogue of reusable agent patterns covering planning, tool use, memory, evaluation, and safety loops.

Agent Toolkit
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Ajouter la documentation à votre agent

Ajoute les fichiers de documentation. Consultez le guide pour configurer et vérifier l’outil d’origine.

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Type
Knowledge
Installation
Single
Confiance
Confiance : Established
Point d'entrée
Asset
Commande d'installation directe
npx -y tokrepo@latest install 50242a81-80d4-5b73-bdbc-9b77950c219f --target codex

À exécuter après confirmation du plan en dry-run.

Introduction

awesome-agentic-patterns is a curated catalogue of reusable agent patterns covering planning, tool use, memory, evaluation, and safety loops.

Best for: engineers implementing agents who want reusable patterns and checklists

Works with: tool-calling agents, memory/RAG, planning loops, eval pipelines, safety guardrails

Setup time: 5-10 minutes

Key facts (verified)

  • GitHub: 4516 stars · 401 forks · pushed 2026-05-07.
  • License: Apache-2.0 · Owner avatar and repo URL verified via GitHub API.
  • README-verified entrypoint: git clone https://github.com/nibzard/awesome-agentic-patterns && cd awesome-agentic-patterns.

Main

  • Use patterns as scaffolding: copy one pattern into your codebase, then measure outcomes before adding more.

  • Treat the catalogue as a shared vocabulary so your team can debate designs faster.

  • Quantitatively, reuse lowers iteration time because you start from known-good loops.

Source-backed notes

  • Repo description calls it a curated catalogue of agentic AI patterns.
  • The repository is Apache-2.0 licensed (verified via GitHub metadata).
  • Recent pushes and star count suggest active interest and maintenance.

FAQ

  • Is it a framework?: No. It’s a curated list of patterns and references.
  • How do I start?: Pick one pattern (memory/eval/tool loop) and implement it end-to-end.
  • How do I avoid cargo-culting?: Add one pattern at a time and measure whether it improves outcomes.
🙏

Source et remerciements

Source: https://github.com/nibzard/awesome-agentic-patterns > License: Apache-2.0 > GitHub stars: 4516 · forks: 401

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