Butterfish - A shell with AI superpowers

Butterfish - A shell with AI superpowers

🌟 Introducing Butterfish Shell 🐟 - An AI-powered shell interface by @OpenAI, turning your bash/zsh shell into a smart assistant! 💡💻 Enhance your command line experience with high-context AI help, debugging, and more. 🚀🔍 #AI #ShellTool #OpenAI #ButterfishShell

  • Butterfish Shell is an AI-powered shell interface that adds OpenAI prompting to your command line environment, similar to Github Copilot but for shell commands.
  • You can interact with Butterfish Shell by starting commands with a capital letter to prompt the AI, enabling high-context AI help without copy-pasting.
  • The shell can perform actions like providing commands, debugging, and even engaging in casual conversation, making it a versatile tool for command line users.
  • Butterfish Shell installation and authentication can be done on MacOS and Linux using Homebrew or Go install, with OpenAI API key required for authentication.
  • It integrates well with bash and zsh on MacOS/Linux, intercepting shell IO to provide useful features like autosuggest, goal mode, and customizable prompts.
  • Goal Mode in Butterfish Shell allows an agent to execute commands to reach a specified goal, providing helpful guidance and assistance.
  • The architecture of Butterfish Shell involves intercepting shell input and output, forwarding most input to the shell, but capturing prompts starting with a capital letter for AI processing.
  • Butterfish Shell uses the OpenAI ChatGPT API for AI prompting, creating histories for conversations and requesting assistance based on the context provided.
  • The shell wrapper aims not to interfere with normal shell operations, enhancing the user experience without disrupting usual workflow.
  • Butterfish Shell offers various commands for LLM prompting, text summarization, indexing, and more, making it a comprehensive tool for shell-based AI interactions.
  • The project is open source under the MIT License, designed to make users faster and more effective using LLMs in a transparent and user-friendly manner.