Flowise Alternatives (2026): 9 Visual AI Agent Builders

Flowise's own homepage now carries a banner saying it's sunsetting Flowise. That turns the usual question on its head. You're no longer asking which tool is better, you're asking where your flows go next, and how much rebuilding you're willing to do to get them there.

Below are nine places they could go, in no particular order, grouped by how you'd build in each. Flowise itself isn't a row. Some of these are close cousins of the drag-and-drop canvas you're used to; others ask your team to write code, and that's a very different move.

Before you move a single flow

Read the sunset notice on the Flowise homepage first, and read it yourself rather than relying on a summary. Then look at each candidate's own import and export options before you commit, because none of these tools promises to open a Flowise flow as it stands. Plan on rebuilding rather than converting.

• List every flow you run, and mark which ones customers or colleagues depend on.
• Note the models, vector stores and tools each flow calls, so you can check support on the new platform.
• Export what you can and keep a copy of your prompts and settings outside any tool.
• Rebuild your simplest live flow first as a test, before touching the ones that matter.

Visual builders closest to the canvas you know

Langflow is a low-code builder for agentic and RAG applications that works with LLMs, vector databases and a library of AI tools, so the way you think about a flow carries over. Lamatic offers pre-built AI workflows, a visual builder and serverless infrastructure for deploying agentic apps. Rivet is an open-source visual AI programming environment with a node-based graph editor. BuildShip takes a slightly different route: you describe a workflow in natural language and it's built visually, covering backend automation and tools for AI agents.

If you're weighing other open-source builders too, my list of Dify alternatives overlaps with this group.

Enterprise agent platforms that trade open source for governance

Stack AI is a drag-and-drop, no-code platform for deploying agents at scale in secure, compliant enterprise applications. Gumloop calls itself the multiplayer AI agent builder: anyone at the company can build agents with any model and integration, while IT controls access. Both make sense when the reason you're moving is that flows have spread across teams and someone now needs to know who can see what.

A workspace for agents across the company

Dust connects company knowledge, tools and teams so people can create, share and run agents. It's less a flow builder than a place where agents live alongside the documents and apps your staff already use, which suits a business that built Flowise chatbots to answer questions about internal knowledge.

Code frameworks for teams that write Python

Haystack is an open-source framework of modular building blocks for production-grade agentic AI systems. LangGraph is an agent orchestration framework with durable execution, memory, streaming and human-in-the-loop control. Choose one of these only if your team will write Python rather than drag nodes, because you're swapping a canvas for a codebase. For more on this side, see my guide to AI agent frameworks.

The nine alternatives, alphabetically

BuildShip

Best for: Builders who'd rather describe a workflow in plain language and see it built visually, covering backend automation and tools for AI agents, per the vendor.

Dust

Best for: Companies wanting a shared workspace that connects company knowledge, tools and teams so staff can create, share and run agents, as the vendor describes it.

Gumloop

Best for: Organisations letting anyone build agents with any model and integration while IT controls access; the vendor calls it the multiplayer AI agent builder.

Haystack

Best for: Python teams who want open-source, modular building blocks for production-grade agentic and context-engineered AI systems, as the vendor describes the framework.

Lamatic

Best for: Teams who want to build, deploy and optimise agentic apps with pre-built AI workflows, a visual builder and serverless infrastructure, according to the vendor.

Langflow

Best for: Flowise users wanting a similar low-code approach: a builder for agentic and RAG applications with LLMs, vector databases and a library of AI tools.

LangGraph

Best for: Developers needing agent orchestration with durable execution, memory, streaming and human-in-the-loop control, which the vendor says keeps agent workflows under control.

Rivet

Best for: Anyone wanting a free, open-source AI programming environment built around a visual, node-based graph editor, as the vendor describes it.

Stack AI

Best for: Enterprises deploying AI agents at scale through a drag-and-drop, no-code platform the vendor pitches for secure, compliant applications.

Nine Flowise replacements compared

Tool	Approach	Strongest fit
BuildShip	Natural-language workflow builder	Describing workflows in plain language
Dust	Agent workspace	Company-wide agents grounded in shared knowledge
Gumloop	Multiplayer AI agent builder	Agents built by any team, governed by IT
Haystack	Open-source AI framework	Production agents built in Python
Lamatic	Visual agentic app builder	Building and deploying agentic apps visually
Langflow	Low-code AI builder	Agent and RAG flows on a visual canvas
LangGraph	Agent orchestration framework	Long-running agents with memory and human review
Rivet	Visual AI programming environment	Node-based AI programming you can self-host
Stack AI	Enterprise no-code agent builder	No-code agents for regulated enterprises

My advice if your flows run in production

Don't rush the move because of the banner. A sunset notice gives you a reason to plan, and a calm migration beats a panicked one. Keep your current flows running while you rebuild the most important one on the new platform, compare the outputs side by side, and only switch traffic when the new version matches.

Match the tool to the people who'll maintain it. If the flows were built by a marketer or an operations lead, stay visual; handing them a Python framework will stall everything. If a developer owns them and wants version control and tests, a code framework is worth the rebuild. And if the real problem was that nobody in IT knew what agents existed, pick for governance first.

Do you make visual AI agent builders or LLM frameworks? Tool makers can ask to be considered for a featured place on this list.

Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.

Frequently asked questions

Is Flowise shutting down?

Flowise's homepage carries a notice saying it's sunsetting Flowise. Read the notice on the official site for the details, and plan where your flows will go.

Can I import my Flowise flows into another tool?

Don't count on it. Check each tool's own import and export options, and plan to rebuild your flows rather than convert them.

Which alternatives are closest to the Flowise canvas?

The visual and low-code builders in this list work most like Flowise: you connect nodes on a canvas rather than writing code.

Do I need to know Python to switch?

Only for the two code frameworks here. The visual builders, enterprise platforms and the agent workspace are built for people who'd rather not write code.

Are there open-source Flowise alternatives?

Yes. The list includes an open-source visual environment and two open-source code frameworks. The enterprise platforms trade open source for governance and access control.

Is this list ranked?

No. The tools are in no particular order and grouped by how you'd build in each one.