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12-factor-agents

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TypeScript

Project Description

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?

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

Project Title

12-factor-agents — Principles for Building Reliable LLM Applications

Overview

12-factor-agents is a project that aims to establish a set of principles for building Large Language Model (LLM) powered software that is robust and reliable enough for production use. It is inspired by the 12-factor app methodology and focuses on creating software that is not just deterministic code with LLM steps, but rather, software that is truly agentic and capable of handling complex tasks.

Key Features

  • A comprehensive guide to building LLM-powered software
  • Focus on creating software that is production-ready and customer-friendly
  • Community-driven, with contributions and feedback welcomed

Use Cases

  • Use case 1: Software developers looking to build AI agents that can handle complex tasks in a production environment.
  • Use case 2: Founders and teams building customer-facing AI applications that require reliability and robustness.
  • Use case 3: Researchers and developers in the field of AI who want to understand and implement best practices for LLM-powered software.

Advantages

  • Provides a structured approach to building LLM applications
  • Encourages community collaboration and feedback
  • Offers a clear set of principles to guide development

Limitations / Considerations

  • The project is still in its early stages and may evolve over time
  • The principles outlined may require adaptation based on specific use cases and technologies
  • The effectiveness of the principles in real-world applications may vary and needs to be tested and validated

Similar / Related Projects

  • LangChain: A framework for building applications with LLMs, focusing on modularity and composability. It differs from 12-factor-agents in its approach to application structure and modularization.
  • Griptape: A tool for building LLM applications, emphasizing simplicity and ease of use. It contrasts with 12-factor-agents by focusing on minimalist agent design.
  • Langraph: A graph-based approach to LLM application development, offering a different perspective on structuring and managing LLM interactions.

Basic Information


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Project Information

Created on 3/30/2025
Updated on 10/31/2025