Skip to content
AI Tool

Sunstone Review

Sunstone is a Visual Studio Code extension that indexes opened folders, enabling models like Copilot to search files effectively and allowing local servers to be added to the model picker.

shipped Sep 24, 2026marketingfree
Domain rating92Monthly visits1.3M/mo
marketing
Sunstone — product screenshot

Why it matters

1Indexes folders opened in Visual Studio Code for enhanced search functionality.
2Supports models including frozen multimodal LLM, Qwen2 5-7B, and Gemma-4-31B.
3Offers semantic search over folders with live lookup and citations.
4Available for free on the Visual Studio Code Marketplace.

About Sunstone

Platforms
Visual Studio Code

Pricing Plans

Free
Free

Screenshots

overview

What is Sunstone?

Sunstone is an AI-native development tool that enables Visual Studio Code users to enhance the search capabilities of AI models within their IDE. It indexes the folders opened in Visual Studio Code, allowing any model in the picker, including Copilot, to search those files effectively. Additionally, Sunstone enables local servers to be added to the model picker for enhanced functionality, supporting multimodality with text and vision capabilities.

features

Key Features of Sunstone

Sunstone provides a suite of features designed to integrate AI model capabilities more deeply into the Visual Studio Code development workflow. These features focus on contextual understanding and efficient information retrieval from local project files.

  • Semantic search over folders, allowing models to understand content contextually.
  • Reads files into ordered notes for structured information processing.
  • Live lookup with citations, providing verifiable sources for AI-generated information.
  • Decision retention across chats, maintaining context over multiple interactions.
  • Folder indexing without requiring users to leave the conversation interface.
  • Supports integration with models such as frozen multimodal LLM, Qwen2 5-7B, and Gemma-4-31B.
  • Offers multimodality, processing both text and vision data.

use cases

Who Should Use Sunstone?

Sunstone is designed for developers and teams utilizing Visual Studio Code who seek to leverage AI models, including Copilot, with enhanced context from their local codebase. Its primary use cases revolve around improving the efficiency and accuracy of AI-assisted development.

  • Developers using Visual Studio Code who want to enable AI models (e.g., Copilot) to search their local project files effectively.
  • Teams requiring AI models to access and understand context from specific folders within their development environment.
  • Users looking to integrate local servers into their AI model picker for specialized functionalities.
  • Individuals seeking to retain conversational context and decisions across multiple AI interactions within their IDE.

how to use

How to Use Sunstone

To begin using Sunstone, users must install the extension from the Visual Studio Code Marketplace. Once installed, it automatically indexes opened folders, making their content accessible to configured AI models.

  • 1Install the Sunstone extension from the Visual Studio Code Marketplace.
  • 2Open a folder in Visual Studio Code that you wish to be indexed.
  • 3Access any compatible AI model from the model picker within VS Code.
  • 4Utilize the model's search capabilities, which will now include your indexed local files.
  • 5Optionally, add local servers to the model picker for extended functionality as per the API documentation.

pricing

Sunstone Pricing & Plans

Sunstone is available as a free extension for Visual Studio Code. There are no paid tiers or subscription models associated with its current offering, making its core functionalities accessible without cost.

  • Free: All features included at no cost.

Enjoying this? Get one like it in your inbox each morning.

one email a day · unsubscribe in two clicks · no third-party tracking

Pros

  • +Enhances search capabilities of existing AI models (e.g., Copilot) within Visual Studio Code.
  • +Provides semantic search over local folders with live lookup and citations.
  • +Supports multiple LLMs including Qwen2 5-7B and Gemma-4-31B.
  • +Offers multimodality with text and vision processing.
  • +Completely free to use with no hidden costs or subscription tiers.
  • +Maintains decision retention across chats for consistent AI interactions.

Cons

  • −Primarily focused on search enhancement, not a full AI-native development environment.
  • −Requires Visual Studio Code as the primary platform for operation.
  • −Functionality is dependent on the capabilities of the integrated AI models.
  • −Limited information on advanced customization beyond API documentation.

Similar Tools

Sunstone vs Competitors

Sunstone differentiates itself in the AI-native development landscape by focusing specifically on indexing local files within Visual Studio Code to enhance the search capabilities of existing AI models. This approach contrasts with competitors that offer broader AI development environments or direct code generation tools.

1

Continue is an open-source VS Code extension that turns your IDE into an AI-native development environment, allowing you to chat with any LLM (local or remote) and use it to edit, debug, and write code with full context of your codebase.

While Sunstone focuses on indexing and making local files searchable for existing models, Continue provides a more comprehensive AI-native development experience, allowing direct interaction with various LLMs and offering features like code generation, refactoring, and debugging within the IDE. You gain a more integrated AI workflow but might need to configure your preferred LLM separately if it's not directly supported.

2

CodeGPT integrates various LLMs into VS Code, allowing users to ask questions, generate code, refactor, and explain code directly within the editor, with context from selected files or the entire project.

CodeGPT offers a broad range of AI interactions within VS Code, similar to Sunstone's goal of enhancing AI with local context. However, CodeGPT's strength lies in its direct interaction and code generation capabilities with multiple models, whereas Sunstone specifically focuses on making your local files searchable for *any* model in the picker. You might find CodeGPT more direct for generating code but potentially less focused on the 'searchable index' aspect for arbitrary models.

3

aider is a command-line chat tool that allows you to interact with GPT models to edit code in your local git repository, automatically committing changes and providing context from your project.

aider operates as a command-line tool rather than a VS Code extension, focusing on AI-driven code editing and interaction directly within your terminal and git workflow. While Sunstone enhances AI within the IDE by making files searchable, aider takes a more hands-on approach to code modification via chat. You gain powerful, automated code editing and git integration but lose the direct VS Code UI integration for AI context.

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags

One short daily email of tools worth shipping. No drip funnel.

one email a day · unsubscribe in two clicks · no third-party tracking

For builders

This page is doing a job for someone else’s tool.

AI agents read it. Buyers land on it. It answers in eight languages and over MCP. Your tool can have one like it — live in 24 hours.