Let me guess. You’re building something with AI agents, and someone told you to check out Flowise. Or maybe you’ve already played around with it and now you’re wondering if it’s still the best tool to use in 2025.
In case you missed the headline, on August 14, Workday just bought Flowise. The enterprise software giant now owns one of the most developer-loved open-source AI tools on the internet. According to Yahoo Finance, the move is part of Workday’s push to bring smarter automation into its HR and finance products. But it also means something bigger. Flowise has officially gone mainstream.
So… is that good news or bad news for indie builders, hackers, and startups?
Let’s unpack what Flowise actually does, how much it costs, and, if it’s not the right fit for you anymore, the best alternatives in 2025.
Flowise AI is an open‑source, low‑code platform that makes building powerful AI agents, like chatbots, RAG-driven assistants, or multi-step LLM workflows, as easy as dragging and dropping blocks.
It wraps the complexity of LangChain into visual components, so you can wire up prompts, memory modules, APIs, retrievers, and vector databases with clarity and speed.
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Flowise was co-founded by Henry Heng (CEO) and Chung Yau Ong, both of whom previously worked in software engineering roles.
The company launched in 2023 and was part of the Summer 2023 Y Combinator batch. It remains a small and lean team, just 5 employees at the time of acquisition.
If you’ve seen a YouTube video titled:
…there’s a good chance the creator was either using Flowise or building something that Flowise makes stupidly simple.
Because that’s exactly what Flowise does: it helps you build advanced, intelligent AI workflows visually, without needing to spin up a LangChain backend from scratch.
Let’s break it down.
Flowise lets you visually build multi-agent architectures that orchestrate complex AI workflows. Using Agentflow, you can:
This is ideal for use cases like research assistants, data agents, or internal copilots where multiple steps and context handoff are required.
Chatflow enables the creation of single-agent AI systems—like chatbots or virtual assistants—with integrated tool calling and retrieval-augmented generation (RAG) capabilities.
Flowise supports review checkpoints where a human operator can step in and validate agent outputs—ensuring quality control for tasks like document summarization, sensitive decision-making, or customer interactions.
Track your agent’s performance in detail:
From customer-facing chatbots to internal copilots, here’s how real companies are using Flowise today:
Flowise gives you a generous free tier and flexible paid plans so you can start small and scale up as your usage grows. Here’s its latest cost breakdown in 2025:
Flowise is a strong platform, but there are a number of excellent alternatives depending on your needs.
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Voiceflow is purpose-built for designing natural, multimodal conversations, whether via chat, voice, or embedded UI. Unlike Flowise or Langflow, which focus on backend agent logic and LangChain-based orchestration, Voiceflow specializes in building engaging front-end user experiences that feel intelligent, consistent, and brand-aligned.
💡 Pro Tip: Many startups now prototype in Voiceflow, build orchestration flows in Flowise, and glue them together with n8n or a lightweight backend.
Overview: Both are open-source, visual tools designed to streamline AI and LLM workflows, but each brings a distinct flavor to the table.
To summarize, choose Langflow if you want a beginner-friendly tool for prototyping with LangChain, and choose Flowise if you’re building scalable AI workflows.
While both offer node-based visual workflows, their core strengths diverge: Flowise for AI agents, n8n for broad workflow automation.
Flowise is your go-to if you’re building AI agents. Let’s say you want to create a chatbot that answers questions from a PDF, remembers past conversations, and can call an external API; that’s exactly what Flowise is made for. It gives you prebuilt blocks for memory, RAG, tools, and even multi-agent logic.
You don’t need to touch Python or LangChain directly. Just drag, drop, connect, and test. If you’ve seen demos like “Chat with Your Docs” or “AutoGPT-style agents,” Flowise lets you build those in minutes.
n8n is more like the glue that connects everything else. Imagine you want that same AI chatbot to log leads into HubSpot, send a Slack alert to your team, and trigger a follow-up email, that’s where n8n shines. It’s built for business automation, not just AI. You can plug in hundreds of services (from CRMs to spreadsheets) and even drop in an OpenAI node if you need it. Many teams use both tools: Flowise handles the smart AI thinking, while n8n makes sure the rest of the system knows what to do with it.
If you’re building anything powered by large language models, Flowise is still one of the strongest tools you can add to your stack. What once took hours of LangChain code can now be handled in minutes with a visual drag-and-drop editor. Whether you’re rolling out an internal AI copilot, embedding a chatbot into your SaaS app, or experimenting with multi-agent workflows, Flowise makes it possible.
But the landscape is shifting. With Workday now owning Flowise, the tool has crossed over from indie darling to enterprise powerhouse. That brings more stability and support, but it also means this is the right time to make sure you know your alternatives.
Looking for a lighter option? Langflow keeps things simple.
Need automation that connects across your entire business? n8n has you covered.
And if you’re focused on building chat and voice experiences, nothing beats Voiceflow.
In fact, many builders are already mixing and matching. Flowise for the LLM logic, Voiceflow for the user experience, and n8n for the automation layer. That hybrid approach is often the best way to get flexibility without losing power.
Yes. Flowise offers a free tier that includes 2 flows and 100 predictions per month. Great for hobby projects or testing out the platform.
Langflow is simpler and better for quick prototyping with LangChain. Flowise is more powerful, with better templates, enterprise features, and support for multi-agent workflows.
Zapier and Make are great for general business automation. Flowise is built specifically for AI—think agents, RAG, vector databases, and prompt chaining. For best results, use them together.
Yes, mostly. You can build complete AI workflows without writing code. However, integrating APIs or advanced logic may require light technical setup.
Workday plans to integrate Flowise into its enterprise platform, especially for HR and finance use cases. The open-source community version remains active, but future enterprise features may lean more toward corporate customers.
Yes. With features like human-in-the-loop (HITL), execution tracing, on-prem deployment, and role-based access control, Flowise is built to support enterprise-grade applications.
Want to explore how Voiceflow can be a valuable resource for you? Let's talk.
