Discontinued
FlowiseAI was shut down on August 31, 2026
- July 29, 2026 — Sunset announced; code freeze
- August 10, 2026 — GitHub repository archived
- August 31, 2026 — End of life
FlowiseAI
Discontinued: Flowise reached end of life on August 31, 2026. The Apache-2.0 code stays on GitHub but is no longer maintained.
Flowise is discontinued. It announced its sunset on July 29, 2026, archived the repository on August 10 and reached end of life on August 31, 2026. Self-hosted copies still run, unmaintained.
Verified 16d ago · liveness 0/100 · cite: rightaichoice.com/tools/flowiseai
- Developers who want to prototype GenAI agents visually
- Teams comfortable self-hosting and maintaining infrastructure
- Short-term or internal AI projects with a defined end date
- LangChain users who want a drag-and-drop layer
- Long-term production deployments given the announced sunset
- Buyers wanting a fully vendor-managed no-code platform
- Teams that cannot maintain their own infrastructure
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Flowise if you need an agent platform with a multi-year vendor roadmap, since the vendor has announced the product is shutting down and cloud users may lose support.
The Pro plan includes 5 users and charges $15 per additional user per month, so a 12-person team pays $105/mo over the $65 base
At $0 Free, $35/mo Starter and $65/mo Pro with 5 included users, Flowise sits in the same band as Dify and below heavier enterprise agent platforms. It suits individuals and small-to-mid teams, not enterprises that need governance layers or a vendor with a long-term commitment.
In short
FlowiseAI — Discontinued: Flowise reached end of life on August 31, 2026. The Apache-2.0 code stays on GitHub but is no longer maintained. Best for Developers who want to prototype GenAI agents visually, Teams comfortable self-hosting and maintaining infrastructure, Short-term or internal AI projects with a defined end date. Free to start; paid plans from $35/mo.
What people actually say about FlowiseAI — is it worth it?
We scanned public community sources for FlowiseAI on Sep 22, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to FlowiseAI. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
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: October 2026
How we score →Key Features
- Visual drag-and-drop builder for AI workflows
- Chatflow for single-agent chatbots with RAG and tool calling
- Agentflow for multi-agent orchestration
- Human-in-the-Loop (HITL) review of agent actions
- Execution traces with Prometheus and OpenTelemetry support
- Embeddable chat widget with custom branding
- REST API for prediction endpoints (/api/v1/prediction/:id)
- TypeScript and Python SDKs
- 100+ LLM, embedding and vector DB integrations
- Data sources including PDF, TXT, RTF, DOC, HTML, CSS, JS, JSON, XML, CSV, MD, SQL
- Self-hosting via npm or npx
- Cloud deployment option
- Horizontal scaling with message queues and workers
- On-premises deployment
- Evaluations and metrics
About FlowiseAI
Flowise is an open-source platform for building AI agents and chatbots through a visual drag-and-drop interface. You get two main building blocks: Chatflow for single-agent assistants with tool calling and RAG over sources like PDF, TXT, CSV, RTF, DOC, HTML, JSON, XML, MD and SQL, and Agentflow for multi-agent systems where several coordinated agents split a workflow. Human-in-the-Loop lets you place a human review step inside the agent feedback loop, and execution traces export to Prometheus and OpenTelemetry for observability. Developers can reach it through REST APIs, TypeScript and Python SDKs, and embeddable chat widgets. You self-host with `npm install -g flowise` and `npx flowise start`, or run it on the vendor's cloud; horizontal scaling uses message queues and workers, and it deploys on-prem or in cloud. The vendor documents 100+ LLM, embedding and vector DB integrations. The decisive caveat: Flowise has announced it is shutting down, with sunset details on the official site. For a prototype you can finish in weeks that is workable; for anything you need running in 2027 it is a serious risk.
Behind the Verdict
Flowise's core appeal is speed and simplicity. The npm two-liner gets a local instance up, and within minutes you can drag a Chatflow together that does tool calling plus RAG across a wide set of file and SQL sources. Agentflow extends that to multi-agent orchestration, HITL inserts a human approval step into the loop, and the tracing story (execution traces, Prometheus, OpenTelemetry) is better than most visual builders at this price point. The SDK and embeddable widget mean the thing you prototype can actually be dropped into an app. The weaknesses are structural rather than cosmetic. The vendor warns that Flowise is sunsetting, so cloud users may lose support and the long-term roadmap is over. Beyond that, the platform leans on you for the hard parts: self-hosters own their infrastructure, and scaling horizontally means standing up message queues and workers yourself. Community case studies (UneeQ, QmicQatar, BTS Digital) are real evidence of production use, but they predate the shutdown. Where it fits: short-horizon prototypes, internal assistants, and teams already fluent in the LangChain ecosystem who want a visual layer on top of it. Where it doesn't: anything with a multi-year service life, or buyers who want a vendor-managed no-code product with no infrastructure work. Treat the sunset date as a hard planning constraint, not a footnote.
Researching FlowiseAI? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas FlowiseAI actually fits — and what changes day-one when you adopt it.
Runs `npm install -g flowise` locally, drags a Chatflow with a vector store node pointed at the team's PDFs, adds a tool-calling node, then exposes it to the internal app through the REST prediction endpoint.
Outcome: A working RAG assistant embedded in the internal app, with execution traces visible for debugging.
Uses Agentflow to split a document-heavy job across several coordinated agents, then inserts a HITL review node before the final output is emitted.
Outcome: A pipeline that extracts and drafts automatically but pauses for a human approval before anything ships.
Configures an embedded chat widget with custom branding on the Free tier, tests it against a small knowledge base, then moves to Starter for unlimited flows and 10,000 monthly predictions.
Outcome: A branded support widget live on the site for low-volume traffic without infrastructure work.
Use Cases
- Build a customer support chatbot that answers from a PDF or SQL knowledge base
- Orchestrate several agents to extract data and generate a report
- Insert a human approval step before an agent's action goes live
- Embed an assistant into a web app with the chat widget and REST API
- Prototype a tool-calling conversational agent from a template
Models Under the Hood
as of 2026-09-23
Limitations
- The vendor states on its homepage that Flowise is being sunset, and the changelog notes a shutdown on 2026-08-05, so new production deployments should treat the platform as end-of-life.
- Self-hosting via npm/npx puts infrastructure ownership on you, and horizontal scaling requires configuring message queues and workers.
- The '100+ LLMs, Embeddings, Vector DBs' claim is the vendor's own; no specific underlying AI models are named in the material reviewed here.
as of 2026-09-22
Verification history
We have re-verified FlowiseAI 8 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-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — 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
Showing the 6 most recent of 8 verification passes.
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
An individual testing whether a visual drag-and-drop agent builder fits their workflow, or a developer prototyping a single chatbot.
What this tier adds
Free entry point: 2 flows, 100 predictions/month, 5MB storage, evaluations, and custom embedded chatbot branding.
Starter
$35/month
Ideal for
An individual or small team running a low-volume internal assistant or a small support chatbot that needs more than the Free limits.
What this tier adds
Adds unlimited flows and assistants, 10,000 predictions/month and 1GB storage over Free, with the first month free.
Pro
$65/month
Ideal for
A medium-sized business running several assistants across a team, where per-user access control and priority support matter.
What this tier adds
Adds 50,000 predictions/month, 10GB storage, unlimited workspaces, 5 included users at $15/user/month beyond that, admin roles and priority support.
Where the pricing makes sense
The company stage and team size where FlowiseAI's pricing actually pencils out — and where peers do it cheaper.
At $0 Free, $35/mo Starter and $65/mo Pro with 5 included users, Flowise sits in the same band as Dify and below heavier enterprise agent platforms. It suits individuals and small-to-mid teams, not enterprises that need governance layers or a vendor with a long-term commitment.
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.
Local self-hosting is fast — the two npm commands get an instance running in minutes, and the first Chatflow from a template takes under an hour. Getting to a production-grade deployment is slower: you need to stand up message queues and workers for horizontal scaling, and wire API/SDK access into your app. Budget an afternoon for a prototype and a few weeks for anything you'd call production.
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 manual LangChain scripts: rebuild the chain as nodes in a Chatflow and expose it through the REST prediction endpoint
- →From a hosted chatbot SaaS: export your knowledge base documents and reindex them in a vector store node
- →From hand-rolled multi-step prompts: recreate the sequence as an Agentflow with coordinated agents
- ↗To LangFlow: rebuild flows visually on a platform that is not being sunset
- ↗To Dify: move knowledge bases into its RAG pipeline and recreate orchestration as workflows
- ↗To self-maintained open source: fork the Flowise repository and continue running it on your own infrastructure
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “FlowiseAI”, and we withheld 6: 6 could not be judged, because “FlowiseAI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about FlowiseAI.
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 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.
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.
Alternatives to FlowiseAI
View all
CustomGPT.ai
No-code custom AI agents trained on your content, with every answer cited back to its source.
Frequently Asked Questions
Best-of guides
Used FlowiseAI? Help shape our editorial sentiment research.