LangGPT and Learn_Prompting

These two tools are competitors, with LangGPT providing a structured framework and methodologies for prompt engineering, while Learn Prompting offers a comprehensive guide and community for learning and applying prompt engineering techniques.

LangGPT
55
Established
Learn_Prompting
48
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 11,744
Forks: 913
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 4,669
Forks: 663
Downloads:
Commits (30d): 0
Language: MDX
License:
No Package No Dependents
Stale 6m No Package No Dependents

About LangGPT

langgptai/LangGPT

LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树

Based on the README, here's a technical summary that goes deeper: --- Provides a hierarchical, markdown-based template system with standardized sections (Role, Profile, Goals, Skills, Rules, Workflow, Initialization) that enables reusable prompt composition similar to code modules, with support for variables, commands, and conditional logic. Includes automation tooling via OpenAI GPTs, Claude Code integration, and a skill installer for streamlined deployment. The framework is grounded in academic research on dialogue dynamics and LLM behavior patterns, addressing systematic prompt engineering through documented theoretical foundations rather than trial-and-error.

About Learn_Prompting

trigaten/Learn_Prompting

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

Built as a Next.js static site, the project delivers comprehensive prompt engineering education through an open-source guide cited by OpenAI and Google, supplemented by 15 structured courses covering generative AI and LLM techniques. The repository includes research artifacts like "The Prompt Report" (systematic survey of prompting methods) and datasets from HackAPrompt (600K+ adversarial prompts), enabling community-driven contributions across translations, content, and artwork.

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