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GitHub Trending Highlights a Comprehensive Collection of System Prompts and Models for AI Tools, Featuring Devin AI, Claude, Perplexity, and More

A new GitHub Trending repository, 'system-prompts-and-models-of-ai-tools' by x1xhlol, has emerged, cataloging an extensive array of system prompts and models for various AI tools. Published on February 25, 2026, this resource includes prominent names like Claude, Devin AI, Perplexity, NotionAI, and Replit, alongside other tools such as CodeBuddy, Cursor, Kiro, Leap.new, VSCode Agent, and Z.ai Code. The collection also features open-source contributions, offering a valuable resource for developers and researchers interested in the underlying mechanics of AI-powered applications.

GitHub Trending

A new repository titled 'system-prompts-and-models-of-ai-tools' by x1xhlol has been featured on GitHub Trending, drawing attention to its comprehensive collection of system prompts and models designed for a wide range of AI tools. The repository, published on February 25, 2026, serves as a centralized resource for understanding the operational frameworks of various artificial intelligence applications.

The collection encompasses a diverse set of AI tools, including well-known platforms and emerging solutions. Among the listed tools are enhanced code, Claude code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia, and v0. The repository also explicitly mentions the inclusion of other open-source tools, indicating a broad scope beyond proprietary solutions.

This resource is particularly relevant for developers, researchers, and AI enthusiasts seeking to explore the foundational elements and operational instructions that drive these AI tools. By aggregating system prompts and models, the repository offers insights into how these AI systems are configured and interact, potentially aiding in development, customization, and understanding of AI behavior.

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