HKUDS/RAG-Anything
RAG-Anything is a next-generation all-in-one multimodal Retrieval-Augmented Generation system that processes and queries diverse document content including text, images, tables, and equations within a unified framework.
Awesome AI Agents › Prompt Libraries
asgeirtj/system_prompts_leaks
The `system_prompts_leaks` repository serves as a centralized archive for system prompt instructions extracted from a wide range of prominent AI chatbots and large language models (LLMs). The project aims to document and make visible the underlying directives that govern the behavior of models such as Anthropic's Claude series (Fable, Opus, Code, Design), OpenAI's ChatGPT (Thinking, Instant, Codex), Google's Gemini (Flash, Pro, Antigravity), and xAI's Grok, along with others like Cursor, Copilot, VS Code, and Perplexity. This collection is valuable for researchers, developers, and AI enthusiasts seeking to understand the foundational instructions that shape LLM responses and capabilities. By providing access to these extracted prompts, the repository facilitates analysis of how different models are engineered, their inherent biases, and the specific goals they are designed to achieve. It also highlights the evolution of these prompts, with regular updates and diffs (e.g., between Claude Opus and Fable) indicating changes in model behavior and features over time. The project includes prompts for various model versions, integrations (e.g., Claude Code tools, ChatGPT web search), and specific functionalities, offering an in-depth look into the operational mechanics of advanced AI systems.
https://github.com/asgeirtj/system_prompts_leaks
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