x1xhlol/system-prompts-and-models-of-ai-tools
FULL Augment 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 & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
This project compiles system prompts, internal tool specifications, and underlying AI models for various commercial AI tools, including coding assistants and general-purpose AI platforms. It provides insights into how these AI systems are engineered to perform their tasks. Developers, researchers, and security professionals can use this to understand, analyze, or reverse-engineer AI tool behaviors.
131,884 stars. Actively maintained with 3 commits in the last 30 days.
Use this if you need to understand the hidden instructions and architectures that guide popular AI tools.
Not ideal if you are an end-user looking for a ready-to-use AI application or a guide on how to use AI tools directly.
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GPL-3.0
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Last pushed
Mar 09, 2026
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