12-factor-agents
humanlayer/12-factor-agents
Principles for building reliable LLM applications
Overview
Repository containing guidelines and principles to develop robust software applications powered by Large Language Models (LLMs) suitable for production use.
Categories
Tags
Similar tools
ECC
affaan-m/ECC
The agent harness performance optimization system
hermes-agent
NousResearch/hermes-agent
The self-improving AI agent built by Nous Research
AutoGPT
Significant-Gravitas/AutoGPT
AutoGPT: Build, Deploy, and Run AI Agents
ollama
ollama/ollama
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
prompts.chat
f/prompts.chat
The world's largest open-source prompt library for AI
JavaGuide
Snailclimb/JavaGuide
Snailclimb/JavaGuide: 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Install
npm install 12-factor-agentsREADME
12-Factor Agents - Principles for building reliable LLM applications
In the spirit of 12 Factor Apps. The source for this project is public at https://github.com/humanlayer/12-factor-agents, and I welcome your feedback and contributions. Let's figure this out together!
[!TIP] Missed the AI Engineer World's Fair? Catch the talk here
Looking for Context Engineering? Jump straight to factor 3
Want to contribute to
npx/uvx create-12-factor-agent- check out the discussion thread
Hi, I'm Dex. I've been hacking on AI agents for a while.
I've tried every agent framework out there, from the plug-and-play crew/langchains to the "minimalist" smolagents of the world to the "production grade" langraph, griptape, etc.
I've talked to a lot of really strong founders, in and out of YC, who are all building really impressive things with AI. Most of them are rolling the stack themselves. I don't see a lot of frameworks in production customer-facing agents.
I've been surprised to find that most of the products out there billing themselves as "AI Agents" are not all that agentic. A lot of them are mostly deterministic code, with LLM steps sprinkled in at just the right points to make the experience truly magical.
Agents, at least the good ones, don't follow the "here's your prompt, here's a bag of tools, loop until you hit the goal" pattern. Rather, they are comprised of mostly just software.
So, I set out to answer:
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Welcome to 12-factor agents. As every Chicago mayor since Daley has consistently plastered all over the city's major airports, we're glad you're here.
Special thanks to @iantbutler01, @tnm, @hellovai, @stantonk, @balanceiskey, @AdjectiveAllison, @pfbyjy, @a-churchill, and the SF MLOps community for early feedback on this guide.
The Short Version: The 12 Factors
Even if LLMs [continue to get exponentially more powerful](https://github.com/humanlayer/12-factor-agents/blob/main/content/factor-10-small-focused-agents.md#w