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Local-first code intelligence for AI agents. Transform your codebase into a queryable knowledge graph. 85% token savings for Claude Code, Cursor, and MCP-compatible tools.

11
0
100% credibility
Found Apr 18, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

GraphHub transforms a codebase into a local knowledge graph for AI coding assistants, enabling efficient semantic search, impact analysis, and persistent session memory.

How It Works

1
🔍 Discover GraphHub

You hear about a helpful tool that helps AI assistants remember your entire codebase so they don't waste time re-reading files every session.

2
📥 Set it up

Download the tool and place it in your project folder to get ready.

3
📂 Scan your code

Tell the tool where your project folder is, and it builds a smart map of all functions, classes, and how they connect.

4
🤖 Connect your AI

With one simple action, link it to your favorite AI coding helper so it always knows your code inside out.

5
Explore your code map
📊
Visual graph

See connections as a colorful diagram and click to highlight related parts.

🔍
Search and list

Type what you're looking for and get a clean list of matching functions with details.

🎉 AI supercharged

Your AI now remembers everything, answers faster, and you save tons of time and costs on every coding session.

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Star Growth

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AI-Generated Review

What is Graph-Hub?

Graph-Hub indexes your codebase into a local knowledge graph, letting AI agents like Claude Code or Cursor query functions, calls, and imports without rereading files each session. It delivers 85% token savings via semantic search, impact analysis, and persistent memory—run `npm run index /path/to/project` to start, then hit the React dashboard at port 5173 or REST API at 9000. Built in TypeScript with MCP protocol support, it's fully local-first on GitHub, echoing graph hubs like the edwin hubble graph for cosmic-scale code navigation.

Why is it gaining traction?

One-command Claude integration (`npm run install-claude`) adds hooks for always-on context and auto-reindexing post-commit, beating claude-mem or graphify on impact analysis and session recall. Token savings tables prove real wins—94% on caller lookups—while Mermaid exports and Cypher queries via `query_graph` make architecture visible fast. Privacy-focused (no external APIs) hooks devs tired of context loss in large repos.

Who should use this?

Backend engineers maintaining monorepos, where Claude Code forgets call graphs between sessions. TS/JS teams using Cursor for refactoring, needing blast-radius checks before edits. AI agent builders integrating local-first GitHub tools for persistent codebase memory.

Verdict

Early alpha (11 stars, 1.0% credibility) with solid docs and tests, but unproven at scale—try for Claude workflows if you need graph hubs now. Worth watching as local-first GitHub projects mature.

(198 words)

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