Mods enables users to enhance command-line workflows by leveraging Large Language Models (LLMs). It accepts standard input, sends it to an LLM, and then formats the output in various text-based formats like Markdown and JSON. Primarily designed for use with locally running LLMs such as LocalAI, Mods provides a simple way to 'question' command output and automate complex tasks.
Mods supports multiple LLM backends including OpenAI, Cohere, Groq, and Azure OpenAI. It offers flexible prompt handling, allowing inclusion of arguments and stdin. Saved conversations facilitate iterative workflows, and a variety of configuration options enable customization for different use cases and preferences. The project's strong focus on extensibility through settings and custom roles makes it adaptable to diverse environments.
- LLM Integration: Supports OpenAI, Cohere, Groq, Azure OpenAI, and LocalAI for versatile AI processing.
- Format Output: Formats LLM responses into Markdown, JSON, and other text-based formats.
- Conversation Management: Saves and manages conversations with titles, SHA-1 identifiers, and filtering options.
- Prompt Customization: Allows including arguments and stdin for dynamic prompt generation.
- Configuration: Offers extensive configuration options including API keys, themes, and advanced settings.
- Shell Completions: Provides pre-generated shell completions for common shells (Bash, ZSH, Fish, PowerShell).
- Extensibility: Supports custom roles and environment variables for advanced configurations and integration.
Mods is an active project with regular updates and recent commits, indicating ongoing development and maintenance. The project has a solid community presence with active discussions and contributions. Comprehensive documentation and examples are available, suggesting a well-supported and reliable tool. The project is actively being developed with planned sunsetting expected on March 9, 2026, with focus shifting to Crush.
Mods benefits developers and system administrators by enabling intelligent command-line workflows and automating complex tasks through LLM integration. It is valuable for anyone who needs to analyze, format, or automate the output of command-line tools, providing a streamlined approach to integrating AI into existing pipelines and processes.