Give your AI coding assistant a complete map of your codebase. GraphRepo parses every file, function, class, and dependency into an in-memory knowledge graph, then exposes it through MCP. Your assistant can trace call chains, walk dependency trees, search code by meaning, and understand architecture across hundreds of files. Zero config, zero external dependencies. Install from the VS Code Marketplace and go
At The Muses, we're researching adaptive learning and human-computer interaction using LLMs and non-invasive BCI technology. Our engineers work across large, interconnected codebases daily, and we kept hitting the same friction: AI coding assistants are powerful, but they lose context the moment a problem spans more than a few files. So we built GraphRepo for them.
The idea is simple. Instead of feeding an assistant files one at a time, give it a queryable knowledge graph of your entire codebase. Parse a repo and get a full graph of every function, class, import, and call relationship. The assistant asks questions about structure instead of reading files sequentially.
Everything runs locally on your machine. No Docker, no database servers, no API keys, no network calls. Your code never leaves your device. For teams working on proprietary or sensitive codebases, that was non-negotiable for us and we expect it is for you too.
We added community detection (Louvain) and semantic search (Transformers.js, fully local) because we found those were the queries that actually changed how the assistant reasons about code. It supports TypeScript, JavaScript, Python, C, C++, C#, and Swift with full AST-level parsing via Tree-sitter. Everything else gets indexed at the file level.
Install from the VS Code Marketplace, parse your workspace, and your assistant picks up the MCP tools automatically. Zero config.
We'd love to hear what languages and features to prioritize next. Open source, built in TypeScript, and available now. Feel free to try it out, or contribute if you'd like to add any features or language support.
GitHub: https://github.com/the-muses-ltd...
VS Code Marketplace: https://marketplace.visualstudio...
No comment highlights available yet. Please check back later!
About GraphRepo on Product Hunt
“A knowledge graph for your codebase, queryable by AI via MCP”
GraphRepo was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #155 on the daily leaderboard. Give your AI coding assistant a complete map of your codebase. GraphRepo parses every file, function, class, and dependency into an in-memory knowledge graph, then exposes it through MCP. Your assistant can trace call chains, walk dependency trees, search code by meaning, and understand architecture across hundreds of files. Zero config, zero external dependencies. Install from the VS Code Marketplace and go
GraphRepo was featured in Software Engineering (42.3k followers), Developer Tools (511k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 177.9k products, making this a competitive space to launch in.
Who hunted GraphRepo?
GraphRepo was hunted by Timdom11. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how GraphRepo stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Timdom11