head to head · open source

graphify vs UltraRAG

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. UltraRAG has 5,699 stars, 448 forks, 11 open issues and last shipped 2 days ago. graphify leads on adoption by 1,990% (119,123 vs 5,699 stars). graphify is written in Python under Apache-2.0; UltraRAG is written in Python under Apache-2.0. graphify has attracted 10% as many forks as stars, UltraRAG 8%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

graphify ★ 119K UltraRAG ★ 5.7K category AI & Machine Learning

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Side by side

graphify UltraRAG
GitHub stars ★ 119K ★ 5.7K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-16 2026-09-16
Forks ⑂ 12K ⑂ 448
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 119K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick UltraRAG if

  • You want the UltraRAG feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and UltraRAG fits your workflow better

full UltraRAG profile →

About graphify

graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.

read the full graphify overview →

About UltraRAG

UltraRAG is a low code Python framework that builds complex retrieval augmented generation pipelines by standardising RAG components as independent Model Context Protocol servers, aimed at researchers and teams doing industrial prototyping.

read the full UltraRAG overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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graphify vs Dify graphify vs langchain graphify vs ponytail graphify vs generative-ai-for-beginners graphify vs claude-mem graphify vs ragflow graphify vs PaddleOCR graphify vs Agent-Reach graphify vs headroom graphify vs Mem0 graphify vs daily_stock_analysis graphify vs LiteLLM

Frequently asked questions

Is graphify or UltraRAG more popular?

graphify has 119,123 GitHub stars and UltraRAG has 5,699. graphify has the larger community by that measure.

Are graphify and UltraRAG free?

Both are open source. graphify is licensed under Apache-2.0 and UltraRAG under Apache-2.0. Neither carries a licence fee.

What is the difference between graphify and UltraRAG?

graphify is written in Python and UltraRAG in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, graphify or UltraRAG?

Choose graphify if you want the larger community (119,123 stars) or its Apache-2.0 licence terms. Choose UltraRAG if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.