head to head · open source

graphify vs R2R

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. R2R has 7,998 stars, 647 forks, 126 open issues and last shipped 11 months ago. graphify leads on adoption by 1,389% (119,123 vs 7,998 stars). graphify is written in Python under Apache-2.0; R2R is written in Python under MIT. graphify has attracted 10% as many forks as stars, R2R 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 R2R ★ 8.0K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

graphify R2R
GitHub stars ★ 119K ★ 8.0K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2025-11-07
Forks ⑂ 12K ⑂ 647
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 R2R if

  • You want the R2R feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and R2R fits your workflow better

full R2R 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 R2R

R2R is an MIT licensed, Python based retrieval system from SciPhi AI that gives developers a RESTful API for agentic Retrieval Augmented Generation over their own documents, with official Python and JavaScript clients.

read the full R2R overview →

More in AI & Machine Learning

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

Related comparisons

dify vs graphify langchain vs graphify ponytail vs graphify dify vs langchain dify vs ponytail langchain vs ponytail dify vs claude-mem dify vs ragflow openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

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 R2R more popular?

graphify has 119,123 GitHub stars and R2R has 7,998. graphify has the larger community by that measure.

Are graphify and R2R free?

Both are open source. graphify is licensed under Apache-2.0 and R2R under MIT. Neither carries a licence fee.

What is the difference between graphify and R2R?

graphify is written in Python and R2R 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 R2R?

Choose graphify if you want the larger community (119,123 stars) or its Apache-2.0 licence terms. Choose R2R if its feature set, stack or MIT licence fits better. Both are self-hostable.