Install Goose with Ollama - On Machine AI Agent for Coding

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AI Summary

Summary of the Video Transcript

• Introduction to Goose, an AI-powered coding assistant.
• Goose is extensible, works with local models, and is open-sourced.
• Desktop version available for Mac, CLI for Linux, and Windows users need WSL.
• Goose uses local models based on OlaMA, avoiding API costs and throttling.
• The video demonstrates installation and usage of Goose with an AMA-based model, specifically the Quen 2.5 model from Alibaba.
• The AI assistant can interact with code repositories and other tools.
• The video includes a sponsored segment for Mast Compute and ENT bot.
• Detailed steps are provided for setting up a virtual environment, downloading the model, and installing Goose.
• The Goose command-line interface is demonstrated, including configuring the model and starting a coding session.
• The AI assistant is shown generating code for a FastAPI application with a MySQL backend.
• The video showcases Goose’s ability to understand detailed prompts and execute file system commands.
• The presenter tests Goose with existing code and observes the AI commenting on the code.
• The video concludes with the presenter’s positive impressions of Goose and an invitation for viewers to subscribe and share the content.

Detailed Instructions and URLs

• Use WSL for Windows: https://docs.microsoft.com/en-us/windows/wsl/
• Virtual environment setup with conda.
• Downloading the model from AMA:
  • Visit https://this.com (URL provided as an example, not actual).
  • Search for the desired model, e.g., Quen 2.5.
• Installation command for Goose (exact command not provided in the transcript).
• Goose configuration and usage commands:
  • goose configure
  • goose --version or go --version
  • goose session or goose session --name my_project
• No other specific CLI commands, website URLs, or tips are provided in the transcript.

Notes

• The transcript mentions a discount code and links for sponsored content, but these are not included in the summary as per the instructions.
• The URLs provided in the transcript are examples and not actual links to resources.
• The transcript includes humor and interactions with the AI that are not directly related to the technical content and are thus omitted from the summary.