Show HN:Sharpie – 可自行託管、支援本地 LLM 的 AI Prompt 遊樂場

Show HN:Sharpie – 可自行託管、支援本地 LLM 的 AI Prompt 遊樂場

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Sharpie 是一個可自行託管的 AI Prompt 遊樂場,讓使用者能透過 Docker 和 Ollama 在本地建構、測試和分享 AI Prompt,無需支付 API 費用。它支援直接在使用者機器上運行各種本地 LLM。

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Self-hostable AI prompt playground with local LLM

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Sharpie

Self-hostable AI prompt playground with local LLM support

Build, test, and share AI prompts with zero API costs. Run entirely on your machine with Docker.

Image

Image

Image

Features

Demo

Coming soon

Quick Start

Prerequisites

Installation

That's it! Open http://localhost:5173 in your browser.

First run takes 5-10 minutes to download the Qwen2.5-3B model (~2GB).

Usage

Basic Workflow

Sharing Prompts

Share URLs like http://localhost:5173?p=abc123 with anyone running Sharpie. They can:

Switching Models

Architecture

Configuration

Using Different Models

Pull any Ollama model:

Then select it in Settings.

Environment Variables

Copy .env.example to .env and customize:

GPU Support

GPU is auto-detected. To disable GPU and run CPU-only, remove the deploy section from docker-compose.yml.

Development

Project Structure

Running Locally (without Docker)

Backend:

Frontend:

Make sure Ollama is running separately.

Troubleshooting

Port Already in Use

Change ports in docker-compose.yml:

Ollama Model Not Downloading

Manually pull the model:

GPU Not Detected

Check NVIDIA Docker runtime:

If it fails, you may need to install nvidia-container-toolkit.

Out of Disk Space

The Ollama model requires ~2GB. Free up space or use a smaller model:

Contributing

Contributions are welcome! Here's how:

Development Setup

See CONTRIBUTING.md for detailed setup instructions.

Roadmap

Security

See SECURITY.md for security considerations and best practices.

License

MIT License - see LICENSE for details.

Author

Ratul Rahman (@heyrtl)

Acknowledgments

Star History

If you find this useful, consider giving it a star!

Built with care for the prompt engineering community.

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Self-hostable AI prompt playground with local LLM

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