How do I set up goose.nvim with a local Ollama model?

First, ensure Goose CLI is installed and configured with Ollama via `goose configure`. Then, in the goose.nvim config, add your Ollama model under the providers table, e.g., `ollama = { 'llama2' }`. The plugin will use this for AI interactions.

What are skills in goose.nvim and how do I use them?

Skills are reusable instruction sets for Goose AI; type '#' in the input to autocomplete and mention them. They teach the agent specific tasks, and you can define them in Goose's config files, as per the linked Goose documentation.

goose.nvim vs GitHub Copilot in Neovim: which is better?

goose.nvim offers deeper editor integration with persistent sessions and context capture, ideal for conversational AI. Copilot focuses on inline completions and has broader support. Choose goose.nvim for chat-based assistance and Copilot for real-time code suggestions.

Can goose.nvim edit code directly and show diffs?

Yes, it supports diff views for reviewing AI-generated changes via keymaps like ` gd`, and you can revert changes with ` gra`. This allows safe iteration on code modifications within the editor.

How to add custom slash commands in goose.nvim?

Define custom slash commands in Goose CLI's config.yaml under `slash_commands`, linking them to recipes. Then, type '/' in goose.nvim to autocomplete and use them, as explained in the README's slash commands section.

Does goose.nvim work with any AI model provider?

It supports multiple providers like Anthropic, OpenAI, and OpenRouter through configuration, but relies on Goose CLI's compatibility. Check Goose's docs for full provider list and setup requirements.

Is goose.nvim good for beginners to AI coding assistants?

Not ideally, due to its dependency on external CLI and complex setup. Beginners might find simpler, all-in-one plugins or cloud-based tools easier to start with, as goose.nvim requires familiarity with Neovim configuration and Goose.

Open-Awesome

goose.nvim

Apache-2.0Luav1.0.5

A Neovim plugin that integrates the Goose AI agent, enabling chat and code assistance with editor context capture.

GitHub

314 stars12 forks0 contributors

What is goose.nvim?

goose.nvim is a Neovim plugin that integrates the Goose AI agent directly into the editor. It provides a chat interface that automatically captures editor context—such as the current file, selected text, and diagnostics—to enhance AI interactions, allowing developers to work with a powerful AI assistant without leaving their coding environment.

Target Audience

Neovim users who want a deeply integrated, context-aware AI assistant within their editor, particularly developers familiar with tools like Cursor AI who prefer to stay in Neovim.

Value Proposition

Developers choose goose.nvim for its seamless editor context integration and persistent, workspace-aware conversations, offering a more native and workflow-focused AI experience compared to generic chat interfaces or external tools.

Overview

seamless neovim integration with goose - work with a powerful AI agent without leaving your editor

Use Cases

Best For

Neovim users seeking an AI coding assistant that automatically includes current file and selection context in prompts.
Developers who want persistent AI conversation sessions tied to their specific workspace or project.
Users who prefer a customizable AI chat interface within Neovim with flexible window layouts (float, split, fullscreen).
Teams or individuals using multiple AI providers (Anthropic, OpenAI, Ollama, OpenRouter) and needing quick configuration switches.
Code review and refactoring workflows where diff views for reviewing and reverting AI-generated changes are essential.
Advanced AI interactions leveraging Goose-specific features like slash commands, skills, and file mentions for complex tasks.

Not Ideal For

Users who want a plug-and-play AI assistant with zero external dependencies
Projects where minimal configuration and quick setup are top priorities
Environments with strict performance constraints or limited system resources
Teams relying on AI tools with larger, more established plugin ecosystems

Pros & Cons

Pros

Deep Editor Context

Automatically captures current file, selections, and diagnostics in prompts, eliminating manual copying and making AI interactions more relevant to the coding task at hand.

Persistent Workspace Sessions

Maintains conversation history tied to specific projects, enabling continuous, context-rich dialogue similar to tools like Cursor AI, as highlighted in the README.

Flexible Interface Options

Offers floating, split, or fullscreen windows with customizable layouts and keymaps, allowing users to adapt the UI to their workflow preferences.

Rich AI Interactions

Supports slash commands, skills, file mentions, and diff views for reviewing changes, leveraging Goose's advanced features for complex coding tasks.

Multi-Provider Compatibility

Configurable for various AI backends like Anthropic, OpenAI, Ollama, and OpenRouter, providing flexibility in model choice without locking into a single vendor.

Cons

External CLI Dependency

Requires separate installation and configuration of the Goose CLI, adding an extra layer of setup and maintenance that can be a barrier to entry.

Complex Initial Configuration

The setup function has numerous options for keymaps, UI, and providers, which the README admits can be overwhelming for users seeking a simple start.

Limited to Goose Ecosystem

Tied to the Goose AI agent, which may have fewer community resources, updates, or integrations compared to more established AI plugins or standalone tools.

Performance Overheads

Integrating AI processing within Neovim could lead to performance issues, especially with large contexts or resource-intensive models, though this isn't explicitly addressed in the README.

Open Source Alternative To

goose.nvim is an open-source alternative to the following products:

Cursor AI

Cursor AI is an AI coding assistant that integrates with various IDEs to provide real-time code suggestions, debugging help, and automated code generation.

Frequently Asked Questions

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