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Awesome Trae

A curated hub of resources, tips, and community-driven content for Trae - a powerful agentic IDE. This repository aims to help users get the most out of Trae's capabilities.

Awesome

Repository Structure

  • memories/ - Example memory prompts for Trae
  • agents/ - Custom agent configurations with prompts and MCP recommendations

Contents

Useful Links

This is not an official Trae repository. For official documentation and support, please visit:

FAQ

What is Trae?

Trae is an AI-native code editor that integrates advanced AI capabilities directly into your development workflow. It's designed to enhance productivity through natural language interaction and intelligent code assistance.

How do I install Trae?

Visit the official Trae documentation for detailed installation instructions and system requirements.

Where can I find community support and resources?

Join our community discussions or visit the Trae documentation for discussions, support, and sharing resources with other Trae users.

Community Resources

Community Prompts

This repository includes a collection of community-contributed prompts that enhance Trae's capabilities. Each contributor has their own directory under memories/ to maintain organization.

Finding Contributions

To explore and discover community contributions:

  • Browse the memories/ directory to explore prompt contributions
  • Check the GitHub contributors page to see everyone who has helped this project

Want to contribute? Create a directory with your username and add your prompts! See the Contributing section for more details.

Tips and Tricks

  • When working on a Markdown file, use keyboard shortcuts to preview the formatted Markdown.
  • If you suspect that Trae is not respecting your rules, just ask it to "check your guidelines and revise your suggestion" or similar.
  • Don't run your chats forever. Trae may start behaving unexpectedly and you might need to reload the window.
  • Use Trae's AI Flow paradigm to work both independently and collaboratively with the AI.

Caveats

  • Be CAREFUL. Trae is smart but it's not AGI.
  • It will miss things occasionally.
  • It will make mistakes.
  • Don't trust it blindly.
  • Keep an eye on your Problems panel.
  • It's important to have solid testing code in place when using AI coding tools.

Videos

Contributing

We welcome all contributions! Please check out our Contributing Guide for guidelines about:

  • How to submit changes
  • Our standards
  • Release process using GitHub Releases

License

This list is dedicated to the public domain under the CC0 1.0 Universal license.

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