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12 Factor Agents

What are the principles we can use to build LLM-powered software that is actually good enough to put

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About

12-Factor Agents - Principles for building reliable LLM applications

In the spirit of [12 Factor Apps](https://12factor.net/). 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

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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](https://github.com/iantbutler01), [@tnm](https://github.com/tnm), [@hellovai](https://www.github.com/hellovai), [@stantonk](https://www.github.com/stantonk), [@balanceiskey](https://www.github.com/balanceiskey), [@AdjectiveAllison](https://www.github.com/AdjectiveAllison), [@pfbyjy](https://www.github.com/pfbyjy), [@a-churchill](https://www.github.com/a-churchill), and the SF MLOps community for early feedback on this guide.

The Short Version: The 12 Factors

Don't lose this

Three weeks from now, you'll want 12 Factor Agents again. Will you remember where to find it?

Save it to your library and the next time you need 12 Factor Agents, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

What are the principles we can use to build LLM-powered software that is actually good enough to put. Best for anyone looking to make their AI assistant more capable in communication. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

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What's New

Version 1.0.06 days ago

Imported from GitHub

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