FlowiseAI
Open-source visual builder for AI agents and chatbots
Flowise is still a fast visual path to working agents, but the shutdown announcement is a deal-breaker for new projects. Use it only for short-term prototyping or if you can self-host and maintain it yourself. The pricing page requires login, which is another red flag for cost planning.
Verified 7d ago · liveness 64/100 · cite: rightaichoice.com/tools/flowiseai
- Developers prototyping GenAI apps quickly with visual tools
- Teams building internal AI assistants with custom knowledge bases
- Enterprises deploying agentic workflows at scale with self-hosting
- Non-coders wanting to create chatbots visually with drag and drop
- Teams needing extensive pre-built industry-specific templates
- Users requiring a fully managed no-code platform without any coding
- Organizations that need tight access controls without per-user pricing
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Skip Flowise if you're starting a new long-term project and need a platform with ongoing vendor support, or if you need enterprise-grade governance and extensive pre-built templates.
Going past the monthly prediction limits (100 on Free, 10k on Starter, 50k on Pro) requires moving to a higher tier, which jumps to $35/mo or $65/mo respectively.
Freemium tiers start at $0/mo (2 flows, 100 predictions) and scale to $35/mo (Starter, 10k predictions) and $65/mo (Pro, 50k predictions, 5 users + $15/user). Compared to LangFlow (free, self-host) or Dify (free tier, $99/mo Pro), Flowise's pricing is competitive for small teams, but the sunset may make long-term value unclear.
In short
FlowiseAI — Open-source visual builder for AI agents and chatbots. Best for Developers prototyping GenAI apps quickly with visual tools, Teams building internal AI assistants with custom knowledge bases, Enterprises deploying agentic workflows at scale with self-hosting. Free to start; paid plans from $35/mo.
What people actually say about FlowiseAI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
2 mentions across 1 source (Hacker News) · researched Jul 3, 2026.
- +Open-source visual builder lowers barrier to AI prototyping.
- +Works as a user-friendly GUI for LangGraph workflows.
- +Supports both single-agent and multi-agent orchestration.
- +Built-in RAG from multiple data sources reduces setup time.
- +Human-in-the-loop review adds safety for agent actions.
- −Community feedback is extremely sparse — only two posts.
- −Production reliability is unproven with no user reports.
- −Pricing page currently shows only a login prompt, causing confusion.
- −Acquisition could alter open-source terms unpredictably.
- −No benchmark comparisons against other low-code AI tools.
- • Pricing page is a login prompt—no clear cost transparency.
- • Self-hosted runs on your infrastructure; cloud costs are unknown.
Viability Score
How well maintained and how widely used is FlowiseAI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Visual drag-and-drop builder for AI workflows
- Single-agent chatbots with RAG and tool calling
- Multi-agent system orchestration with Agentflow
- Human-in-the-loop review of agent actions
- Execution traces and observability (Prometheus, OpenTelemetry)
- Embedded chat widgets with customization
- REST API for prediction and management
- TypeScript and Python SDKs
- 100+ integrations with LLMs, embeddings, vector DBs
- On-premises and cloud deployment options
- Horizontal scaling with message queues and workers
- Evaluation and metrics tools
- Support for multiple data sources (PDF, TXT, CSV, SQL, etc.)
- Ready-to-use templates
- Community templates and examples
About FlowiseAI
Flowise is an open-source platform that lets you build AI agents and chatbots through a drag-and-drop visual interface. It's designed for developers, technical teams, and non-coders who want to prototype agentic systems quickly. The platform offers two primary building blocks: Chatflow for single-agent chatbots with tool calling and RAG, and Agentflow for multi-agent workflows with orchestrated coordination. A key feature is Human-in-the-Loop (HITL), allowing humans to review and approve agent actions within the feedback loop, which is critical for trust and safety. The tool also provides full execution traces with Prometheus and OpenTelemetry support, giving you observability into every agent decision. For developers, Flowise offers REST APIs, TypeScript and Python SDKs, and embeddable chat widgets, making it easy to integrate into your applications. Deployment is flexible: you can self-host via npm or use the cloud service. With 100+ integrations for LLMs, embeddings, and vector DBs, Flowise is a versatile choice for rapid AI application development. However, note that the vendor has announced a sunset; details are on the official site, so factor this into your long-term planning. Flowise is trusted by teams globally, with case studies from companies like UneeQ and QmicQatar. It scales horizontally with message queues and workers, supporting both on-premises and cloud environments. For those who want to iterate fast, the speed of dragging nodes to create a working agent is hard to beat. Compared to similar tools like LangFlow or Dify, Flowise's strength lies in its simplicity and deep integration with the LangChain ecosystem. It's not the most feature-rich for enterprise governance, but for prototyping and internal tools, it's a solid choice—if you can accept the sunset timeline.
Behind the Verdict
Flowise has been a favorite for developers who want to build AI agents without getting buried in code. The drag-and-drop interface is genuinely intuitive, and the ability to spin up a working chatbot in minutes is a real time-saver. If you're a developer who prefers visual tools over hand-coding every chain, Flowise feels liberating. But here's the giant elephant in the room: Flowise is shutting down. The announcement is recent, and it changes everything. For new projects, betting on a platform that's sunsetting is risky at best. You might be able to self-host and keep it running, but you'll miss out on updates, security patches, and community support. That's a deal-breaker for any serious production use. When would we still pick Flowise? If you need a quick prototype to validate an idea, or you're learning how agents work, Flowise can get you there fast. The free tier is generous enough for experimentation. But if you're planning something you'll need to maintain for more than a few months, look elsewhere. The closest alternative is LangFlow, which offers a similar visual builder but has a more active roadmap and isn't shutting down. Dify is another option, especially if you want a more productized platform with built-in governance. Both are worth evaluating as replacements. One caveat: the pricing page requires a login to view, which is annoying. We had to rely on the scraped page content for tier details. That lack of transparency is a red flag, especially for a tool in its final days. In practice, if you're already using Flowise and can self-host, you might be able to keep things running for a while. But don't expect any new features or fixes. Plan your migration now, before the sunset hits.
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Real-world workflow fit
Concrete scenarios for the personas FlowiseAI actually fits — and what changes day-one when you adopt it.
You want to test a customer support bot that answers from your FAQ PDFs without writing code. You use Flowise's free tier to drag a Chatflow node, connect a PDF loader and OpenAI, and embed the widget on a test page. You iterate on prompts and evaluate responses using the built-in metrics.
Outcome: You have a working prototype in under an hour, using only the free tier's 100 predictions, and you can share it with stakeholders for feedback before investing in paid plans.
Your team needs an assistant that pulls data from SQL databases and sends summaries to Slack. You use Agentflow to orchestrate separate agents: one queries SQL, another formats text, and a third triggers Slack notifications. You enable HITL to review actions before they post to Slack.
Outcome: You deploy a safe, multi-agent workflow to production on the Starter tier, with human oversight on critical actions, and you monitor performance via Prometheus traces.
You're assessing on-prem AI platforms for compliance. You spin up Flowise via npm on your own infrastructure, configure message queues for horizontal scaling, and test integration with your existing observability stack via OpenTelemetry.
Outcome: You validate that Flowise meets your scaling and compliance needs, but you note the sunset risk and decide to monitor the community for a fork or migration path.
Use Cases
- Build a customer support chatbot that retrieves answers from PDF knowledge bases
- Create a multi-agent system that orchestrates data extraction and report generation
- Deploy a human-in-the-loop workflow for reviewing AI-generated content
- Integrate an AI assistant into a web app using embedded chat widgets
- Prototype a conversational agent with tool-calling capabilities in minutes
Models Under the Hood
as of 2026-08-18
Limitations
- The platform requires technical setup, including installation via npm and configuration of message queues and workers for horizontal scaling.
- Being open-source, users are responsible for managing their own infrastructure unless using cloud deployment.
- The evidence does not provide specific plan limitations, so usage limits are not confirmed.
as of 2026-08-11
Verification history
We have re-verified FlowiseAI 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published FlowiseAI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/month
Ideal for
Solo developers or hobbyists wanting to evaluate Flowise with 2 flows and 100 predictions per month, sufficient for building a simple chatbot prototype and testing the drag-and-drop interface.
What this tier adds
Starting tier with 2 flows & assistants, 100 predictions/month, 5MB storage, but no priority support or custom branding.
Starter
$35/month
Ideal for
Individuals and small teams needing unlimited flows and 10,000 predictions per month, suitable for production chatbot deployments with light usage; includes first month free.
What this tier adds
Adds unlimited flows & assistants, 10,000 predictions/month, and 1GB storage over Free, plus community support.
Pro
$65/month
Ideal for
Medium-sized businesses requiring 50,000 predictions monthly, unlimited workspaces, and up to 5 users (with add-ons), including admin roles and priority support; fits growing teams with higher usage and collaboration needs.
What this tier adds
Increases predictions to 50,000/month, storage to 10GB, adds unlimited workspaces, 5 users + $15/user/month, admin roles & permissions, and priority support over Starter.
Where the pricing makes sense
The company stage and team size where FlowiseAI's pricing actually pencils out — and where peers do it cheaper.
Freemium tiers start at $0/mo (2 flows, 100 predictions) and scale to $35/mo (Starter, 10k predictions) and $65/mo (Pro, 50k predictions, 5 users + $15/user). Compared to LangFlow (free, self-host) or Dify (free tier, $99/mo Pro), Flowise's pricing is competitive for small teams, but the sunset may make long-term value unclear.
Setup time & first value
How long it actually takes to get something useful out of FlowiseAI — broken out by persona, not the marketing-page minute.
For a non-coder: drag-and-drop nodes can produce a working chatbot in under 30 minutes, but deploying to production or self-hosting may require a day if you're unfamiliar with npm and environment configuration. Developers familiar with Node.js can get a local instance running in ~15 minutes (npm install -g flowise; npx flowise start). Cloud deployment shortens setup but still requires account
Switching to or from FlowiseAI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From LangFlow: You can recreate your flows in Flowise's visual interface, as both support similar LangChain-based components; import by rebuilding node graphs manually since there's no direct import tool.
- →From Dify: You can export your API endpoints and rebuild the workflow in Flowise, but you'll need to manually recreate agent logic and integrations.
- →From custom code: If you have an existing Python or JS AI script, you can wrap it as a custom tool or API endpoint and call it from a Flowise node.
- ↗To LangFlow: Flowise's node-based flows are conceptually similar, so you can re-implement your agent graphs in LangFlow's visual editor, though you'll need to manually recreate each node and connection.
- ↗To Dify: You can export your prompts and workflows as text and recreate them in Dify's interfaces; for chatbot scenarios, Dify's built-in features (RAG, tools) can cover most cases.
- ↗To a custom deployment: Since Flowise is open-source, you can extract your flow definitions (JSON) and use them as a reference for building your own orchestration logic with LangChain or a similar framework.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with FlowiseAI
Common stack mates teams adopt alongside FlowiseAI, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Flowiseai vs Presto Voice
Presto Voice and FlowiseAI serve completely different markets. If you run a QSR chain and need a specialized drive-thru voice AI with proven upselling, Presto Voice is the clear choice — its recent adoption by Dairy Queen confirms enterprise traction. For developers or teams building custom AI agents, chatbots, or RAG workflows with full control and low cost, FlowiseAI's open-source visual builder is unmatched. Choose based on your primary need: drive-thru automation vs. general AI agent development.
Flowiseai vs Locus Robotics
Choose Locus Robotics if you need to physically automate warehouse picking and fulfillment with proven AMRs and a RaaS model; choose FlowiseAI if you want to visually build AI agents and chatbots with open-source flexibility. They solve entirely different problems—one in the physical world, one in software. No overlap.
Flowiseai vs Truleo
Choose Truleo if you're in law enforcement needing to connect siloed data for case leads and operational efficiency. Choose FlowiseAI if you're a developer or team wanting to visually build custom AI agents and chatbots with full control. They solve completely different problems.
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