Enterprise AI projects often get stuck between experimentation and production. Teams move fast with AI, while IT is left to manage governance, security, cost, and long-term reliability across workflows that were never built to be maintained. When AI adoption outpaces governance, Shadow AI fills the gap — scattered tools, one-off scripts, and processes no one can audit or scale. A shared platform layer changes that. With Dify, teams can turn AI ideas into maintainable workflows, built to operate in production, not just survive a demo. Read more: https://lnkd.in/g3RTUwqe
About us
Dify offers everything you need — agentic workflows, RAG pipelines, integrations, and observability — all in one place, putting AI power into your hands.
- Industry
- Technology, Information and Internet
- Company size
- 51-200 employees
- Headquarters
- Menlo Park, CA
- Type
- Partnership
- Specialties
- LLM, RAG, LLMOps, Agentic AI, Workflow, AI Solutions, Agent, and GenAI
Products
Dify
SaaS Management Software
An Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps and orchestrates LLM apps from agents to complex AI workflows with an RAG engine.
Locations
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Primary
Get directions
101 Jefferson Drive
Menlo Park, CA 94025, US
Employees at Dify
Updates
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Prompts don't scale. Workflows do. Every marketer knows how to to write a prompt, but what about scaling those prompts into daily routines? - The blog draft still needs someone to translate it into brand voice. - The lead enrichment still requires opening five tabs every Monday. - The repetitive task still depends on someone remembering to do it. If you're trying to scale campaigns, checking on incoming leads, or managing on building KB, it's time for you to move from prompting to orchestrating. In this blog, we ship three marketing workflows you can actually build, or work with your IT team. https://lnkd.in/g_qqgWaN #Dify #WorkflowAutomation #MarketingOps #GrowthMarketing #WorkSmarter
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Dify reposted this
Most AI agent failures don't happen during demos. They happen in turn 4 of a real conversation. Just published a joint blog with Dify on how to catch those failures before your real users do, using our open-source tool ArkSim to simulate realistic multi-turn conversations against your Dify app. Full blog: https://lnkd.in/eigQ7nmZ #ArklexAI #Dify #AIAgent #AIEval
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Want to add an AI chatbot to your website without wrestling with APIs or backend setup? Join our free Dify webinar this Thursday, May 28th at 7:30 PM PDT! In 30 minutes, we’ll build a chatbot from scratch, add knowledge so it answers accurately, test it, and embed it live on a website. Can’t join live? Register anyway and we’ll send the replay + demo DSL file so you can import it directly into Dify. Register here: https://luma.com/yphihg1m
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Your website doesn’t have to stop answering when your team goes offline. We’re kicking off our live Dify webinar soon — join us to learn how to build and embed an AI chatbot with knowledge, testing, and external data integration. Sign up to join live and get the recording + DSL file 👇
People want answers the moment they land on your page. Not the next business day. Now, you don't need a dev team or months of work to fix this. You just need 30 minutes and Dify. We're hosting a free live webinar and we will build an AI chatbot from zero, and embed it on a website. Here's what you'll learn: 1. Build a Dify chatbot from scratch 2. Add knowledge & context so it answers accurately 3. Test it before any visitor sees it 4. Embed it directly on your website Then, we’ll do a live demo for several cases. Bonus: We’ll also cover how to connect it to an external knowledge base. If you can’t make it live, you can still register for a full replay link and DSL file from the demo, so you can import it straight into Dify and start customizing for your own use case. No need to build from zero. Register here: https://lnkd.in/g__pfWqN
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Dify x Arklex: testing AI agents before they reach production. We tested the Dify and Arklex AI integration, which connects ArkSim, Arklex’s open-source agent testing framework, to Dify applications through a lightweight Chat API adapter. Dify handles workflow design, RAG pipelines, tools, and deployment. ArkSim runs realistic multi-turn synthetic users against the Dify app, helping teams uncover hallucinations, context loss, contradictions, and workflow failures before real users encounter them. It also supports evaluation metrics such as helpfulness, faithfulness, coherence, and goal completion, making it useful for CI quality gates and knowledge base regression testing. Read the full walkthrough: https://lnkd.in/gePx_VPT
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Enterprise AI implementation is never straightforward. In the first session of CIO Taiwan Academy, Dify (LangGenius K.K.) Head of Taiwan Alvin Wu highlights: Only 48% of AI projects globally reach production. Enterprises face three critical challenges: tech fragmentation, talent gaps, and governance blind spots. How does Dify help overcome these barriers? Visual workflows, end-to-end lifecycle management, enterprise security certifications, and 200+ LLM integrations—already validated by 280+ enterprises and government agencies. 📖 Full article: https://lnkd.in/gXRMykm5 #Dify #GenerativeAI #EnterpriseAI
企業級 AI 落地,從來不簡單。 Dify (株式會社 LangGenius)台灣負責人 Alvin Wu 在 CIO Taiwan 價值學院第一堂課中指出:全球僅 48% 的 AI 專案能進入生產環境,企業面臨技術碎片化、人才斷層、治理盲點三大挑戰。 Dify 如何幫助企業克服這些障礙?視覺化工作流、全生命週期管理、企業級安全認證、200+ LLM 整合——已被 280+ 企業與政府機構驗證。 📖 完整報導:https://lnkd.in/gXRMykm5 #Dify #生成式AI #企業轉型
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Last day at Asia Tech Singapore 2026! Huge thanks to everyone who stopped by the past two days ❤️ Our booth was absolutely packed and buzzing with incredible energy! Such a blast talking about all your AI initiatives! Today is the final day of the exhibition, and we are looking forward to seeing what kind of new friends we’ll meet today. 📍 Booth 3K2-1 in Hall 3 #ATxSG2026 #DifyAI #EnterpriseAI #GenerativeAI
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People want answers the moment they land on your page. Not the next business day. Now, you don't need a dev team or months of work to fix this. You just need 30 minutes and Dify. We're hosting a free live webinar and we will build an AI chatbot from zero, and embed it on a website. Here's what you'll learn: 1. Build a Dify chatbot from scratch 2. Add knowledge & context so it answers accurately 3. Test it before any visitor sees it 4. Embed it directly on your website Then, we’ll do a live demo for several cases. Bonus: We’ll also cover how to connect it to an external knowledge base. If you can’t make it live, you can still register for a full replay link and DSL file from the demo, so you can import it straight into Dify and start customizing for your own use case. No need to build from zero. Register here: https://lnkd.in/g__pfWqN
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Dify reposted this
One of the best parts of Developer Advocacy is shipping things that multiply. I published MongoDB-RAG to the Dify Marketplace this week — a ready-to-use workflow template combining: • MongoDB Atlas Vector Search • VoyageAI embeddings (voyage-3.5) • VoyageAI reranking (rerank-2.5) In a few clicks, any Dify user gets a production-grade semantic search pipeline — no glue code, no guesswork. Dify has a fast-growing community of builders. Getting MongoDB Atlas patterns in front of them through the Marketplace is exactly the kind of distribution play that matters in DevRel. This is also just the start — the screenshot shows what you can build on top of it: a full Project Management Agent that uses the RAG workflow as a tool alongside native MongoDB CRUD operations. If you're on Dify, try it: 🔗 https://lnkd.in/een838u7 #MongoDB #Dify #DevRel #VectorSearch #RAG #AI
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