Do you know the difference between @langchain, LangGraph, LangSmith and @langflow_ai? Hint: All of them help you build AI applications :)

tried langflow today no docs, no tutorials direclty tried

Drag-and-drop UI to build AI agents! Langflow is a powerful visual tool for building and deploying AI-powered agents and workflows - without writing any code. Supports all major LLMs, vector DBs, etc. 100% open-source, 137k stars 🌟

Langflow により、NVIDIA RTX PC でローカル AI エージェントを無料で作成、実行できるようになりました。 手動でスクリプトを作成しなくとも、複雑な AI ワークフローの構築や変更ができ、多段階の作業に対応したエージェントの開発が簡単に行えるようになります。 https://t.co/OfouJsIbW3

This might be the simplest @langflow_ai flow I've ever built, but it's still really cool. It uses Docling to parse PDFs and return Markdown. You can choose between Docling's standard pipeline, using OCR and other models, or use a vision language model. And you get great results

Build powerful, no-code AI agents locally with Langflow and NVIDIA RTX. Privacy, speed, & endless creativity—no coding needed. Today, anyone can become an AI innovator. Read the blog 👉 https://t.co/uP55lAFPt4

Open source is booming, but so is maintainer burnout. Langflow turned to CodeRabbit to keep PR quality high, cut review bottlenecks, and make shipping faster (and saner) for their founder led team. Find out why Langflow loves CodeRabbit in our latest case study! 👇

Complete guide on how to choose an Agent framework by Langflow link in comments

ساخت یک اپلیکیشن RAG با استفاده از Langflow و OpenAI و Azure البته کیفیت تصویر ویدیوش پایین هست یه مقدار که به بزرگی خودتون ببخشید. https://t.co/jTv3lTQDh6

Simple drag-and-drop interface to craft AI agents effortlessly! Langflow offers an intuitive visual platform for designing and launching AI-driven workflows and agents without needing to write code Compatible with all leading LLMs, vector databases, and more 100% Open-source

Just attended IBM TechXchange 2025 🔥 #IBMPartner watsonx Orchestrate lets you build and ship enterprise AI agents in minutes. At the conference, I had the opportunity to build agents using their UI, code, and new Langflow integration - all with production-grade monitoring and

Huge announcements from IBM at their TechXchange event! A partnership with Anthropic and updates to their AI Productivity suite including enterprise grade agent evals and monitoring in watsonx Orchestrate and a Langflow integration for no/low code agent building! There are a lot

Introducing CUGA: production-grade open agents for real workflows. Groq → real-time speed @huggingface → open models @IBMResearch → enterprise architecture @langflow_ai → builder-friendly tools No patience required.

Prorrogamos até o dia 16/09/2025 o acesso ao curso de bônus: IA Generativa e Agentes de IA Para Fluxos de Automação com Langflow e n8n. Este é um módulo de bônus temporário, disponibilizado para todos os alunos das Formações 4.0 e Programas de Pós-Graduação, dentro de Cursos de

生成AIワークフローツールを探し続けて100年経った。エンジニアだとLangflowの中毒性がすごい。あとサクッと作りたいとか社内用とかだとJinbaがとてもよい。 Difyとn8nはどうしても好きになれない。Agent BuilderとOpalがはよちゃんとしてほしい。

I'm building a tool that lets you create AI agents using drag-and-drop nodes instead of writing code. It’s inspired by platforms like Flowise & LangFlow. The goal is to show how AI workflows can be designed, connected, and simulated visually. Updates: https://t.co/q8VHE3jZG1

I heard many people talking about @OpenAI's AgentKit and seems good. However, what if you want to use open-source models locally, Gemini or any other models. I would say simply use @langflow_ai, which is 100% open-source, flexible and no vendor lock in. 😀

Langfuse nails LLM observability in Python: self-host in 5min via Docker, trace calls/prompts/evals with minimal code. Caught a 30% latency leak in my LangChain app instantly. Powers 116k-star Langflow + 44k-star LlamaIndex. Essential for prod AI. Repo link in thread below.

Most teams spend 80% of their time on RAG infrastructure, not the actual AI logic. That's where @langflow_ai comes in. 𝐋𝐚𝐧𝐠𝐟𝐥𝐨𝐰 𝐢𝐬 𝐚𝐧 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐯𝐢𝐬𝐮𝐚𝐥 𝐛𝐮𝐢𝐥𝐝𝐞𝐫 𝐰𝐡𝐞𝐫𝐞 𝐲𝐨𝐮 𝐝𝐫𝐚𝐠, 𝐝𝐫𝐨𝐩, 𝐚𝐧𝐝 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐀𝐈