system-prompts-and-models-of-ai-tools - AI Developer Tools Tool

Overview

system-prompts-and-models-of-ai-tools is an open-source curated archive that collects real system prompts, tool definitions, agent logic snippets, and small model-configuration files extracted from a wide set of AI agent projects (examples: Cursor, Devin, Replit Agent, v0, Manus, Lovable, Windsurf, Same.dev). The repository is file-based (text, .json, and small config/code snippets) and is intended as a research and reference resource for engineers designing agent identities, tool interfaces, and production prompts. According to the project README, the collection spans tens of thousands of lines of prompts and configurations and groups materials by upstream project for easy inspection. ([github.com](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools?utm_source=openai)) Because it aggregates operational details rather than providing a runnable library, the typical usage pattern is cloning the repo and copying or adapting prompt files, tools.json definitions, and agent-loop examples into your own projects. Use cases include prompt engineering research, reproducing agent behavior for testing, hardening prompt/tool exposure, and learning real-world agent integration patterns (for example, the repo contains explicit tools.json examples for Manus and Replit and prompt templates for Cursor and Devin). The collection's README also emphasizes security and data-exposure risks, making it useful for teams auditing what to protect in production. ([drose.io](https://drose.io/aitools/tools/system-prompts-models-of?utm_source=openai))

GitHub Statistics

• Stars: 121,433
• Forks: 31,391
• Contributors: 27
• License: GPL-3.0
• Last Updated: 2026-02-17T11:22:32Z

The repository is high-profile and actively maintained: the project shows large community interest and many contributions, and is released under GPL-3.0. According to the repository page, it has a large star count and forks, indicating widespread use and forks for downstream adaptation. The project shows ongoing maintenance (recent commits and open issues/pull requests), and the README lists author contact channels (X/Discord) for feedback. ([github.com](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools?utm_source=openai)) Metrics (from the upstream GitHub metadata) show strong community traction: 121,433 stars and 31,391 forks, with 27 listed contributors; the repository is GPL-3.0 licensed and had a recent commit on 2026-02-17. Issue and PR activity is visible (dozens open), which suggests community-driven updates and active triage paths. These indicators point to a healthy, active community for a documentation-style archive. ([github.com](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools?utm_source=openai))

Installation

Install via docker:

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

cd system-prompts-and-models-of-ai-tools

ls  # browse folders such as 'Cursor Prompts', 'v0 Prompts and Tools', 'Replit'

git clone --depth 1 https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git  # shallow clone to save space

## Optional: sparse-checkout to fetch specific folders only

git clone --depth 1 --filter=blob:none --no-checkout https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git repo-partial

cd repo-partial

git sparse-checkout init --cone

git sparse-checkout set "Cursor Prompts" "v0 Prompts and Tools"

ls  # view only the targeted folders

Key Features

• Aggregates real system prompts from Cursor, Devin, Replit, v0, Manus, and more (per-folder organization).
• Contains JSON tool definitions (tools.json) used by agents like Manus and Replit for integration examples.
• Includes agent-loop and module snippets to illustrate typical runtime orchestration and tool calling.
• Provides security and exposure guidance highlighting which prompts/configs to protect in production.
• File-based: copy/adapt prompt.txt and tools.json directly into projects for quick experimentation.

Community

The project has strong community traction and active contribution: high star and fork counts, dozens of open issues and pull requests, and an active maintainer presence with channels listed in the README (X and Discord). The repository is GPL-3.0 licensed, which encourages forks and derivative uses but requires downstream GPL compliance. Contributors and reviewers regularly update folders for new agent projects, and issues/PRs are the main path for feedback and corrections. For direct conversation or to propose changes, open an issue or use the contact handles noted in the README. ([github.com](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools?utm_source=openai))

Key Information

• Category: Developer Tools
• Type: AI Developer Tools Tool