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RepoGraph AI
The AI coding-agent graph for any repository just one click
RepoGraph AI turns any repository into an AI coding-agent graph — a free VS Code extension. Open a folder: it auto-indexes every file and import into an interactive dependency graph (2D + 3D sphere), tagging each edge EXTRACTED, INFERRED or AMBIGUOUS so you know what to trust. Communities, flow diagrams and Q&A with citations work offline with zero API keys; connect Groq, Ollama, Gemini, Claude or OpenAI for AI summaries, and export REPOGRAPH-CONTEXT.md to ground agents in your real graph.
I kept losing hours in unfamiliar codebases, jumping file to file, guessing what breaks before a refactor. LLMs were great at answering snippet questions but… they guess. They can't see the actual import graph, so they'd confidently draw relations that don't exist.
That's the problem RepoGraph AI solves. Open any folder and it indexes itself, no commands, no config. Every edge in the graph is labeled EXTRACTED (found in a real import), INFERRED (0.85) or AMBIGUOUS (0.3), so you always know what to trust. Communities detect themselves (watch backend/frontend split apart at 0:21 in the demo), flow diagrams export as .mmd/.svg/.json, and everything works with zero API keys — the static mode runs fully offline.
AI is optional, not the point: bring your own Groq (free tier), Ollama (100% local), Gemini, Claude or OpenAI for summaries and grounded Q&A that cite files and abstain when the graph doesn't support an answer.
The piece I'm proudest of: one-click REPOGRAPH-CONTEXT.md export, a token-compact context file that grounds Copilot, Cursor, Claude Code, Codex or OpenCode in your repo's real structure instead of their guesses.
I'd love your feedback, especially if you run it on your messiest real-world repo and tell me what the graph gets wrong. That's exactly what the provenance labels are for.
About RepoGraph AI on Product Hunt
“The AI coding-agent graph for any repository just one click”
RepoGraph AI was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #149 on the daily leaderboard. RepoGraph AI turns any repository into an AI coding-agent graph — a free VS Code extension. Open a folder: it auto-indexes every file and import into an interactive dependency graph (2D + 3D sphere), tagging each edge EXTRACTED, INFERRED or AMBIGUOUS so you know what to trust. Communities, flow diagrams and Q&A with citations work offline with zero API keys; connect Groq, Ollama, Gemini, Claude or OpenAI for AI summaries, and export REPOGRAPH-CONTEXT.md to ground agents in your real graph.
On the analytics side, RepoGraph AI competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how RepoGraph AI performed against the three products that launched closest to it on the same day.
Who hunted RepoGraph AI?
RepoGraph AI was hunted by Kaushalendra Singh. 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.
For a complete overview of RepoGraph AI including community comment highlights and product details, visit the product overview.
Kaushalendra Singh