langgenius/dify
View on GitHub ↗ ★ 160,224 Python
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
14 mentions on Hacker News by 10 people: 6 stories, 8 comments · first 2024-04-22 · latest 2026-03-09
20082026
-
Looks like n8n and https://github.com/langgenius/dify/ , but came out 1 year later / not open-source
comment by shadyshadow · 2025-10-14 · in OpenAI announcing agent builder toolkit -
…workflows but want an open-source, local-docker-running alternative to OpenAI's Agentkit, check out https://github.com/langgenius/dify/
comment by shadyshadow · 2025-10-14 · in Open-Source Agentic AI -
…use-cases in practice right now are actually just workflows, and imo dify is great for those: https://github.com/langgenius/dify [edit] worth mentioning [langfuse]( https://github.com/langfuse/langfuse ), which is more like a platform that…
comment by cowpig · 2025-03-11 · in New tools for building agents -
Try dify ( https://github.com/langgenius/dify )
comment by omidh · 2024-07-05 · in Ask HN: What RAG setup gets me 95% of the way there? -
Perhaps this would be of use? https://github.com/langgenius/dify/ I use it for quick workflows and it's pretty intuitive.
comment by punkspider · 2024-06-02 · in What we've learned from a year of building with LLMs -
This visual IDE for LLM pipelines was posted recently: https://github.com/langgenius/dify See if it helps.
comment by lovelearning · 2024-05-03 · in Ask HN: LLM workflows to avoid copying and pasting from the web interfaces? -
> https://github.com/langgenius/dify/blob/main/LICENSE everyone is apparently a license pioneer
comment by mdaniel · 2024-04-22 · in Dify, a visual workflow to build/test LLM applications -
…project could also perhaps be artificially inflated? This month they started to go exponential: https://github.com/langgenius/dify?tab=readme-ov-file#star-h...
comment by choppaface · 2024-04-22 · in Dify, a visual workflow to build/test LLM applications