Graphify-Labs/graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Star History
Momentum
+3K
STARS · LAST 30 DAYS
102
PER DAY
#17
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +714 | +3K | +9.2K |
| Per day | 102 | 102 | 102 |
| Forks gained | +59 | +235 | +587 |
graphify gained 3K stars in the last 30 days, about 102 a day, and now has 121.8K. It is about 1 year old and has averaged roughly 121.8K stars a year. It ranks #17 among Python repositories and #58 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#19
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
graphify has maintained a continuous presence across global trending indexes, peaking at #19. Below is the 30-day activity profile:
💡 Overview
graphify is an open-source project written in Python: Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, antigravity, ast. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install graphify⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
graphify coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with graphify.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install graphify using your package manager: `pip install graphify`
Initialize your project workspace or configuration file for graphify.
Import graphify into your codebase or invoke it directly from your terminal.
Execute your test suite or run `graphify --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Graphify-Labs/graphify is currently ranked #58 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #53 | kubernetes/kubernetes | Go | ★ 128K | Compare ↗ |
| #54 | react/react-native | C++ | ★ 126.8K | Compare ↗ |
| #55 | openai/codex | Rust | ★ 126.7K | Compare ↗ |
| #56 | shadcn-ui/ui | TypeScript | ★ 124.7K | Compare ↗ |
| #57 | rustdesk/rustdesk | Rust | ★ 124.6K | Compare ↗ |
| #58 | Graphify-Labs/graphify This Project | Python | ★ 121.8K | |
| #59 | microsoft/generative-ai-for-beginners | Jupyter Notebook | ★ 120.7K | Compare ↗ |
| #60 | rust-lang/rust | Rust | ★ 119.2K | Compare ↗ |
| #61 | 2dust/v2rayN | C# | ★ 117.2K | Compare ↗ |
| #62 | browser-use/browser-use | Python | ★ 116.5K | Compare ↗ |
| #63 | mrdoob/three.js | JavaScript | ★ 116K | Compare ↗ |
Frequently Asked Questions
What does graphify do? +
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
What language is graphify written in? +
The primary language is Python. Topics include: ai-agents, antigravity, ast, claude-code, code-analysis.
Is graphify actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 1,477 open issues being tracked.
How many stars does graphify have? +
graphify has 121,843 stars and 11,733 forks on GitHub.
How does graphify rank among GitHub repositories? +
With 121,843 stars, Graphify-Labs/graphify is ranked #58 globally across all repositories tracked on GitHubRepo and #17 among Python projects.
What license is graphify distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
