head to head · open source

Dify vs LightRAG

Dify has 156,167 GitHub stars, 24,658 forks, 1,067 open issues and last shipped yesterday. LightRAG has 39,726 stars, 5,591 forks, 222 open issues and last shipped yesterday. Dify leads on adoption by 293% (156,167 vs 39,726 stars). Dify is written in TypeScript under a custom or non-standard licence; LightRAG is written in Python under MIT. Dify has attracted 16% as many forks as stars, LightRAG 14%. LightRAG was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (genai, gpt, llm), so they are genuine substitutes rather than adjacent tools.

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

Dify ★ 156K LightRAG ★ 40K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

Dify LightRAG
GitHub stars ★ 156K ★ 40K
License Custom / other MIT
Written in TypeScript Python
Last push 2026-09-17 2026-09-17
Forks ⑂ 25K ⑂ 5.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 156K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Dify profile →

pick LightRAG if

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

full LightRAG profile →

About Dify

Dify is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.

read the full Dify overview →

About LightRAG

LightRAG is a Python retrieval augmented generation framework, released under the MIT licence and presented in an EMNLP 2025 paper, that builds a knowledge graph over documents so that queries can be answered from both graph structure and vector similarity.

read the full LightRAG overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

dify vs langchain dify vs ponytail dify vs graphify dify vs claude-mem dify vs ragflow langchain vs ponytail langchain vs graphify ponytail vs graphify 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.

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

Frequently asked questions

Is Dify or LightRAG more popular?

Dify has 156,167 GitHub stars and LightRAG has 39,726. Dify has the larger community by that measure.

Are Dify and LightRAG free?

Both are open source. Dify has no licence declared in this registry, and LightRAG is licensed under MIT. Both are free to self-host.

What is the difference between Dify and LightRAG?

Dify is written in TypeScript and LightRAG 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, Dify or LightRAG?

Choose Dify if you want the larger community (156,167 stars) or its Custom / other licence terms. Choose LightRAG if its feature set, stack or MIT licence fits better. Both are self-hostable.