#40 · Primary category: LLM Application Frameworks

LangGPT

chatgpt claude deeplearning doubao framework gemini gpt-4 gpt3-prompts langgpt meta-prompting prompt prompt-engineering qwen structured-prompts

A structured, reusable prompt design framework enabling anyone to create high-quality prompts for large language models through modular templates and meta-prompting.

Project last updated:07/16/26

GitHub Stars

12.5K

Forks

945

Contributors

8

License

Apache-2.0

Why we included this project

Most people learn prompt engineering by guessing, tweaking, and hoping the next try works. LangGPT gives that process a structure: instead of one-off instructions, you design prompts from a reusable template with roles, variables, and modular blocks, much like writing code. The repository bundles practical examples and a documented methodology for everything from chat assistants to coding tasks on the major models, and since many of those models already internalize this style, prompts written in it tend to be understood with less friction. That makes it a solid reference for developers and non-engineers alike who want prompts that are easier to maintain, version, and adapt.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category