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🗺️ The Tool That Helps You Understand Projects Fast — No Need to Read Every File

Turn your project into a visual map — you and your AI assistant can ask questions and get instant answers, no code hunting required

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Ever opened a new repo and felt lost — unsure which files matter, which modules depend on what, or where data flows from and to?

That's exactly why Graphify v8 exists. It transforms your codebase into a knowledge graph — a living map of your project — so you and your AI assistant can query, explore, and understand it many times faster.

🤔 What is Graphify?

Imagine you just got handed a new project — hundreds of files, no idea where to start, which files matter, or what depends on what?

Graphify is like a project scanner — it reads all the code and creates a map that helps you:

• 🗺️ Understand the project quickly — see the big picture instead of reading files one by one
• 🔍 Find what you need — ask "which file handles login?" and get an instant answer
• 🤖 Help AI understand your project — your AI assistant can answer code questions without re-reading everything
• 📊 Get automatic reports — an interactive HTML view to explore and a Markdown summary

🚀 Before vs After Graphify

Before (without Graphify)	After (with Graphify)
Open a new project → manually hunt through files	Run one command → instantly get a full project map
Ask AI "which file handles login?" → AI must re-read all the code	Ask AI → AI "looks" at the existing map → answers right away
Hard to know which file depends on which	The map clearly shows how files are connected
Every new AI session needs the project "explained" from scratch	The map is saved → any AI session understands your project instantly

📦 Installing Graphify

Requires Python 3.10+. The PyPI package name is graphifyy (double y), but the CLI command remains graphify.

# Install
uv tool install graphifyy

# Install skill for Codex
graphify install --platform codex

# Create a map for the current project
$graphify .

🔧 10 Key Features of Graphify

Graphify does more than create maps — it helps you interact with your project in many ways:

1. Create a Project Map

Run $graphify . for the current project, or point it to a folder / GitHub link.

$graphify .
$graphify /path/to/project
$graphify https://github.com/owner/repo

Use --mode deep for deeper analysis; --no-viz when you only need data.

2. Update When the Project Changes

Code changed? Refresh the map:

$graphify . --update

You can set it to auto-update on every commit:

graphify hook install

3. Ask in Plain Language

Ask Graphify like you'd ask a person:

$graphify query "Which module depends on the database?"

If a map already exists, Graphify answers instantly — no re-reading code.

4. Find Connections

See how two files or concepts are connected:

$graphify path "API endpoint" "DatabaseModel"

5. Explain a Part

Summarize the role and connections of a specific part of the project:

$graphify explain "SessionFactory"

6. Add External Docs

Add documentation, PDFs, or external links to the map:

$graphify add https://docs.example.com/api

7. Export and Share

Export the map in multiple formats to share with your team:

graphify export callflow-html
$graphify . --wiki
graphify merge-graphs a.json b.json

Supports SVG, GraphML, Neo4j, FalkorDB, Obsidian, and wiki.

8. Team Collaboration

Commit graphify-out/ so everyone and every AI assistant shares the same map.

Graphify respects .gitignore and supports .graphifyignore to exclude sensitive files.

9. Connect to Other Tools

Let other tools access the map via MCP:

$graphify . --mcp
python -m graphify.serve graphify-out/graph.json

10. Save and Learn

Save results and reflect on accumulated knowledge:

graphify save-result ...
graphify reflect

📊 What You Get

Everything is saved in the graphify-out/ folder:

File	What Does It Do?
graph.html	An interactive view to explore your project with your mouse
GRAPH_REPORT.md	A summary report of the project structure and key points
graph.json	The map data — for querying, sharing, or connecting tools

🔒 Map Reliability

Every relationship in the map is marked with a trust level:

• EXTRACTED — Fact from the code, read directly — most reliable
• INFERRED — Inferred from context — fairly reliable
• AMBIGUOUS — Unclear — should be double-checked

🤖 When Should You Use Graphify?

Graphify is especially useful when:

• 🆕 Getting a new project — understand it quickly instead of reading files one by one
• 🔍 Finding connections — see which file depends on which
• 🤖 Using AI assistants — AI understands your project instantly without "re-learning" from scratch
• 📊 Creating documentation — automatically generate reports about your project structure
• 👥 Team collaboration — everyone shares the same map

🎯 Conclusion

Graphify v8 helps you understand projects many times faster — instead of hunting through files one by one, you just run one command and get a full project map.

Especially when used with an AI assistant — instead of "explaining" your project to AI every time, the AI can "look" at the existing map and answer your questions instantly.

Have you tried Graphify yet? Drop a comment if you have questions or want to see a specific demo!

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