InfraNodus VS Code / Cursor AI Extension
You can use the InfraNodus extension in your favorite IDE — VS Code, Antigravity, Windsurf, or Cursor AI — to navigate the content of your text files, Obsidian vaults, LLM Wikis, and code, and generate new ideas from them.
The advantage of using the InfraNodus extension is that it maps how files relate to one another, how concepts or entities connect inside them, and how functions link up, then renders that structure as a network graph. It applies powerful graph algorithms to surface the most important nodes and clusters of nodes that form communities. That gives you (or your LLM) a holistic view of the material so you can spot content gaps and blind spots.
This can be especially useful if you work with your local files or use the LLM Wiki setup. Using the extension, you can select the content gaps or specific clusters in the graph and then generate the LLM prompts that contain the underlying graph structure to steer your LLM's reasoning process (e.g. by adding them into your Claude or Claude Code prompts).
How to Get the InfraNodus Extension:
You can get the InfraNodus extension from the following sources. If you prefer to use Obsidian, you can get the InfraNodus Obsidian plugin instead.
VSCode or Cursor AI (Microsoft Marketplace)Windsurf AI (Open VSX)
GitHub Repo (Demo + .vsix file)
InfraNodus Extension Features:
InfraNodus extension works really well when you need to analyze your local markdown (text) files. For example, your Obsidian vault or an LLM wiki. You can also use it with code base, but note that InfraNodus is mainly a text analysis tool so it works best for plain text, not programming languages.
- • Get a visual overview of text content
- • Reveal the main topics and concepts
- • Identify blind spots and content gaps in ideas
- • Navigate your content using the graph
- • Find the top mentions for a concept / topic in your vault
- • Analyze local files (no need to upload to the cloud)
- • Analyze folders
- • Analyze git diff for a file / folder / whole repo
- • Generate prompts with underlying graph structure to steer LLM's reasoning process
- ... and much more
How to Install & Use the InfraNodus Extension
1. Open your favorite VSCode-compatible IDE and go to the extensions section.
2. Search for InfraNodus.
3. Install the extension.
4. Quit VSCode or Cursor AI and restart again.
5. Open a file or folderyou'd like to analyze.
6. Right click (two-finger tap on a Mac) the name of that file in the finder on the left.
7. Use Command+Shift+P to open the VSCode command palette and start typing InfraNodus.
8. InfraNodus will open in the right sidebar. If you can't see it, open the right sidebar using the button at the top right. We recommend to use it at the right side panel for your convenience, but you can add it anywhere you want
9. You will be asked to add an API key. You can get it at the InfraNodus API access page if you have an account. You can add it manually using the Key button on the graph (top left) or if you find the InfraNodus API Key setting in VSCode / Cursor settings by typing Cmd+Shift+P > InfraNodus API key.
10. Reload the graph and you'll have the page visualized.
11. You might also want to try it with whole folders or use the Diff analysis function (if you have Git version control activated).
12. Explore the graph, then explore the topics, gaps, and trends in your file.
13. Select the nodes / topics and click the Locate button to jump to the most relevant part of the content.
14. Use the Context button to see all the statements that belong to the topic / selected nodes.
15. Click the AI buttons to generate graph-aware prompts and paste them into your favorite AI copilot chat.
Note, the prompts will be generated in the InfraNodus Log panel, which you can open at the lower panel next to your Terminal. Simply copy the prompts from there and paste them into your Claude Code or Cursor AI chat with your instruction.
For support, feedback, and feature requests, please, contact us through the Nodus Labs support portal.
Watch a Brief Tutorual on InfraNodus VSCode Extension
In this video, we are demonstrating the general workflow
for generating ideas from your Obsidian vault using the
extension. You can also use it on any text files in
general and we're adding PDF support soon!
See How the InfraNodus Extension Works with LLM Wiki (Obsidian Vault)
In this video, I am demonstrating how to use the
InfraNodus extension with the
Karpathy's LLM Wiki setup, which generates a live knowledge base from your
research papers and builds a knowledge graph to help
Claude Code's LLM get a holistic view of the content and
find gaps inside.
Get InfraNodus VSCode Extension
Microsoft Marketplace (VSCode, Cursor AI)
Open VSX (Windsurf AI)
GitHub Repo (Demo + .vsix file)
Sign Up for an InfraNodus Account