How to Study System Prompts from Top AI Agents

system-prompts-and-models-of-ai-tools collects 20,000+ lines of prompts, tooling, and model artifacts used across real-world agents like Claude Code, Manus, Replit, Warp, and more. Similar to how Activepieces exposes MCP servers for agent orchestration, this repo surfaces system prompts, tool definitions, and model references in the open — invaluable if you want to learn how high performing agents are actually assembled.

This repo is a research and learning resource, not a drop-in production kit. Audit licenses and usage policies before reusing assets.

What it is

At a high level, this repo is a curated index of prompts, model configs, and tooling used by a variety of agent projects. While PageIndex helps agents retrieve information from complex documents, this repository acts like a reverse engineered playbook of what production-style agents embed in their system prompts and tool surfaces.

How it helps builders

Feature	Why it matters
System prompts	Real-world examples of instruction engineering and guardrails
Tool definitions	Templates for connecting tools and structured tool calling
Model configs	Examples of model selection, temperature, and runtime settings
Breadth	Covers many agent projects, great for comparative study

Use this repo as a study corpus: clone it, grep for patterns in system prompts, and compare across agents to learn common guardrails and techniques.

Loving this topic? You'll also enjoy How to Build an MVP in 3 Hours with Vibe Coding Prompts and How to Build Safer Agents with Parlant Conversation Modeling.

Usage notes and caveats

• Many assets are long, raw, and require sanitization before reuse.
• Prompt artifacts may encode proprietary workflows, so check licenses.
• Use in a controlled environment, do not paste sensitive production prompts blindly.

Try it locally

git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
cd system-prompts-and-models-of-ai-tools
# search for prompts, tools, or model configurations that interest you

Here are what peoples are saying:

“Amazing work on this repo” @saboo_shubham_

“This is crazy! And very insightful!” @gargi_gupta97

Project link

• https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools

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