CodeGrab ✋ An interactive CLI tool for selecting and bundling code into a single, LLM-ready output file. ❓ Why? When working with LLMs, sharing code context is essential for getting accurate responses. However, manually copying files or creating code snippets is tedious. CodeGrab streamlines this process by providing a clean TUI (Terminal UI), alongside a versatile CLI (Command-Line Interface). This allows you to easily select files from your project, generate well-formatted output, and copy it directly to your clipboard, ready for LLM processing.
| Stars | 89 |
| Forks | 11 |
| Language | Go |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 37.75/100 |
| Open Issues | 6 |
| Last Updated | 2026-01-02 |
| Created | 2025-03-31 |
| Platforms | cli, go |
| Est. Tokens | ~15k |
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codegrab is ✋ Interactive CLI tool for selecting and bundling code into a single, LLM-ready output file. It is categorized as a AI 工具 with 89 GitHub stars.
codegrab is primarily written in Go. It covers topics such as ai, artificial-intelligence, bubbletea.
You can find installation instructions and usage details in the codegrab GitHub repository at github.com/epilande/codegrab. The project has 89 stars and 11 forks, indicating an active community.
codegrab is released under the MIT license, making it free to use and modify according to the license terms.