⭐30,000 System Prompts lines of real-world prompt architectures.

The System Prompts & Models of AI Tools repository by x1xhlol is one of the most comprehensive open-source collections of AI system prompts, internal tool instructions, and LLM model configurations available today. Featuring over 30,000 lines of real-world prompt architectures, this project offers developers unprecedented insights into how leading AI tools—including Cursor, Devin AI, Claude Code, Replit, Poke, NotionAI, Perplexity, Warp.dev, Windsurf, Trae, Qoder, Z.ai Code, and many others—design their agents, copilots, workflows, and coding assistants.

Updated frequently and supported by a large community of AI engineers, this repository is a goldmine for anyone studying prompt engineering, agent orchestration, multi-tool collaboration, LLM behavior, or how AI development environments are built internally. It includes system prompts, role prompts, mode-switching logic, editor prompts, browser/terminal agents, reasoning instructions, memory structures, and more.

Whether you’re building your own AI agent, improving an AI-powered development tool, researching LLM security, or designing workflow automation systems, this dataset provides real, proven examples from top AI platforms—something rarely accessible to the public.

This is not just a resource—it’s a blueprint for understanding and building next-generation AI systems.

⭐KEY FEATURES

• 30,000+ lines of AI system prompts
• Internal tool + agent instructions
• Multi-agent orchestration patterns
• Coding agent prompt architectures
• Role-based LLM instructions
• Editor, terminal, browser & workflow agent prompts
• Open-source and continuously updated
• Insights from 30+ leading AI tools & dev assistants
• Ideal for research, development, and security audits

⭐USE CASES

• AI agent development
• Workflow automation agent design
• Building AI coding assistants
• Prompt engineering research
• LLM optimization & tuning
• Developer tool integration
• Secure AI system design
• Reverse-engineering agent logic
• AI product development and innovation

⭐WHO IS THIS FOR?

• AI developers & engineers
• SaaS founders building AI products
• Automation engineers
• Prompt engineers
• Security researchers
• LLM researchers
• Students learning AI agent design
• Teams building internal copilots or AI workflows

⭐BENEFITS

✔ Learn how top AI tools structure prompts
✔ Build more powerful agents using proven patterns
✔ Improve LLM performance with optimized instructions
✔ Accelerate AI product development
✔ Gain rare insight into agent internal logic
✔ Identify vulnerabilities & improve AI security

⭐PROS & CONS

Pros

✔ Free and open-source
✔ Huge dataset (30k+ lines)
✔ Covers 30+ AI tools
✔ Updated regularly
✔ Ideal for research and development

Cons

✖ No UI (technical resource)
✖ Requires understanding of LLMs
✖ Some content may change as tools update

⭐FAQ 

Q1. What is the System Prompts & Models of AI Tools repository?

It is a large open-source dataset of system prompts, agent instructions, and AI model configurations used by popular AI platforms, assistants, and coding agents.

Q2. Is this resource free to use?

Yes, the entire repository is open-source and free. Optional support via Patreon or crypto is available.

Q3. Who uses this repository?

AI developers, engineers, startups, security researchers, automation builders, and students studying LLM behavior and agent design.

Q4. Can this help me build my own AI agent?

Absolutely. The dataset includes real-world prompt structures used by advanced agents like Devin, Cursor, Claude Code, and Replit.

Q5. How often is the repository updated?

It receives frequent updates with new tools, prompts, and architectural insights.