Flowise alternative: AI Flowi Workflow vs Flowise
Consider AI Flowi Workflow if you want a hosted visual builder and can verify your required components. Flowi pricing checked 1 November 2026: Go from USD8/month billed yearly (USD10 monthly), five plans up to Pro 500. Consider Flowise if its documented agent tooling or Apache-2.0 self-hosted code meets your requirements and you can manage its sunset and maintenance risks. Prices checked 9 October 2026: Flowise lists Free at $0/month with 100 predictions, Starter at $35/month with 10,000 and Pro at $65/month with 50,000. Flowise lists a free plan; compare its allowances, connections and availability with Flowi’s Go, Plus and Pro plans.
Check continuity before choosing Flowise: its official homepage says We’re sunsetting Flowise.
Its official repository is archived and read-only. These are documented (official source, checked 9 October 2026) in the Flowise homepage and Flowise repository. The listed cloud prices do not establish that new subscriptions, future support or continued service are available.
By Ai Flowi · Published .
Ai Flowi sells the product compared here. Flowise facts below are documented (official source, checked 9 October 2026); Ai Flowi did not runtime-test Flowise for this comparison. Dollar amounts retain the source’s $
symbol; no ringgit conversion is assumed.
What the two builders document
AI Flowi Workflow is a visual workflow builder from Ai Flowi (aiflowi.com, operated by AI FLOWI SDN. BHD.) for building AI agents, chatbots and automations from drag-and-drop components. Plans: Go from USD8/month billed yearly (USD10 monthly), five plans up to Pro 500. Every plan is listed on the pricing page. Each node run uses 1 Flowi Token.
On a narrow screen, scroll the tables sideways. Each table region can also receive keyboard focus.
| Requirement | AI Flowi Workflow | Flowise |
|---|---|---|
| What each is | Available self-serve builder for AI agents, chatbots and automations; configuration and testing remain your responsibility. | Describes itself as an open-source agentic systems development platform; sunset notice and archived repository apply. |
| Builder | Visual canvas with typed component connections. On every plan, Ask AI can generate a starting design that needs review. | Visual, modular building blocks for compositional workflows and autonomous agents. |
| AI agents | Agent accepts instructions, a required LanguageModel input and optional Tool inputs. Language Model and Message History are separate documented components. | Agentflow for multi-agent orchestration; Chatflow for single-agent assistants, tool calling and retrieval-augmented generation (RAG); human review within an agent feedback loop. |
| Channels and integrations | Documented web-app publishing, Universal Webhook and API Request; catalogue categories for Google Docs, Drive, Sheets and Slides. Telegram is a documented extension requiring webhook setup and a reply path. | APIs, embedded chat widget and TypeScript/Python SDKs. Lists 100+ LLMs, embeddings and vector databases. These are integration claims, not a verified list of messaging-channel connectors. |
| Free, paid and self-hosted hosting | Browser-based Cloud Workspace with Go, Plus and Pro plans. Every plan includes the workflow builder, custom nodes, workflow-link sharing, Ask AI, JSON workflow export, publish app, Marketplace and free and paid connections (Creator Center is available by application and approval only). The evaluation guide provides no self-hosting installation procedure or deployment-region commitment. | Lists Free, Starter and Pro cloud plans, plus on-premises/cloud deployment. The Apache-2.0 repository documents self-hosting via npm or Docker and deployment on AWS, Azure, Digital Ocean and GCP, among others. Cloud availability needs confirmation during sunset. |
| Usage unit | 1 Flowi Token for each node run; external model/API usage is separate. | Cloud allowance measured in Predictions / month. The homepage does not define all events that consume a prediction. |
| Published subscription price | Plans: Go from USD8/month billed yearly (USD10 monthly), five plans up to Pro 500. Every plan is listed on the pricing page. | Free $0/month: 2 flows and assistants, 100 predictions, 5MB storage. Starter $35/month: unlimited flows and assistants, 10,000 predictions, 1GB storage. Pro $65/month: 50,000 predictions, 10GB storage, unlimited workspaces, 5 users plus $15/user/month. Enterprise: quote required. |
These usage units are NOT equivalent. A Flowise prediction is not a Flowi node run or a language model token. Matching the number of complete requests does not prove matching metered usage.
Source links: Flowise features and listed prices, archived self-hosted source and license, Flowi pricing, Flowi builder overview, component catalogue, web-app publishing and Telegram extension.
Use the same question and answer contract
For a small evaluation, give both builders the same synthetic support question, fixed reference text, model/provider settings and expected answer format. Require one text answer per request, with no tool action or external-channel delivery. Configure the same provider credentials and input mapping; separately record workspace access and each platform’s endpoint authentication. Do not assume their credential formats are interchangeable.
On Flowi, inspect Agent’s required model input, optional tools and max_iterations before wiring a task. If the answer needs chat history, configure Message History’s session_id, required order and Retrieve/Store mode. These inputs are documented in the catalogue; not production-tested by Ai Flowi for this answer task. Flowise documents Chatflow with RAG and tool calling, but the supplied official homepage does not establish a matching import, history configuration or failure path.
Test missing input, incorrect credentials, a model failure and repeated submission as well as the expected answer. Record rejection behavior and retries on both sides using the evaluation checklist. A similar visual graph is not evidence of equivalent answers or recovery.
100 / 1,000 / 10,000 runs per month
Each node run uses 1 Flowi Token. Plans: Go from USD8/month billed yearly (USD10 monthly), five plans up to Pro 500. Every plan is listed on the pricing page.
Scenario assumptions: one completed question-to-answer request is one run. Flowi executes exactly six nodes per run; Flowise is assumed to meter one prediction per run. The latter is a budgeting assumption that needs meter confirmation, not a published counting rule. Both use identical input text, reference material and answer format, with one model call per request. There are no branches, agent tool iterations, loops, retries or other workflows consuming the allowance. Provider/model costs, hosting labour and taxes are excluded. The six-node design is illustrative and was not built or volume-tested.
| Completed runs/month | AI Flowi Workflow: six node runs each | Flowise Cloud: assumed one prediction each |
|---|---|---|
| 100 | 600 Flowi Tokens. Go monthly costs USD10 if this is the only workload; third-party model charges are additional. | 100 predictions. Listed Free $0/month covers the assumed count, within 2 flows and assistants and 5MB storage; confirm cloud availability and metering. |
| 1,000 | 6,000 Flowi Tokens. Plus monthly costs USD20 because 6,000 tokens fit the 10,000-token allowance. | 1,000 predictions. Listed Starter $35/month includes 10,000 predictions; no model/API cost inclusion is established by the homepage. |
| 10,000 | 60,000 Flowi Tokens. 60,000 tokens exceed Plus’s 10,000 by 50,000. Plus with five top-ups costs USD170 (USD20 + 5 × USD30). Verify task capacity separately; external model charges are additional. | 10,000 predictions. Listed Starter $35/month reaches its included allowance exactly. Extra predictions, retries or other workloads would need a confirmed option and price. |
For self-hosted Flowise, the Apache-2.0 license allows the documented software route without a listed cloud subscription. That does not make the complete deployment cost $0: budget infrastructure, operations and model/API calls separately. A total self-hosted price for each scenario is quote required. Neither source establishes an all-in bill at these volumes.
Where Flowise is cheaper or broader: its listed Free tier has a $0 subscription for qualifying usage, and its documented self-hosting, multi-agent orchestration, human review and observability stack offer broader documented deployment and agent-development options than the Flowi evidence establishes here. Flowise lists execution traces, Prometheus and OpenTelemetry support. Compare the actual paid workload, third-party charges and operating costs. Sunset status may outweigh the listed allowance for a new project.
Add every executed node and rerun to Flowi’s count. If another two nodes run on every successful request, the six-node assumption becomes eight: 800 / 8,000 / 80,000 Flowi Tokens at these volumes. Recheck predictions independently rather than treating that change as eight Flowise predictions. Use the workflow automation cost guide for branches, retries and separate model charges.
Limits that affect a Flowise replacement
- Flowise continuity: the homepage announces sunset and the official repository is read-only. The reviewed sources do not establish a retirement schedule, continued patching, migration support or current cloud purchase eligibility. Confirm those before depending on a listed plan.
- Flowise costs and parity: full prediction-counting rules, overage rates, model-charge inclusion and the exact equivalent answer workflow are not established. Self-hosting needs its own security, upgrade and backup plan.
- Flowi fit: no Flowise-export migration, matching multi-agent/HITL/observability feature set, self-hosted installation or data-location commitment is established by the reviewed Flowi documentation. A published visitor page is not proof of installation on your infrastructure.
- Flowi reliability evidence: the linked Sheets tutorial has scoped production tests, not tests of this AI answer design. Its documented Sheets failure can return a raw platform error, and sequential keyed upserts do not establish protection from simultaneous duplicate inserts. Required model recovery, throughput and duplicate behavior still need task-specific tests.
Read the tested Sheets tutorial and its limitations without applying those results to an untested agent. Choose a replacement only when the required answer, rejected inputs and service-failure path pass with your own configuration.
Evidence and related comparisons
- Flowise homepage: sunset statement, agent features, deployment claims, cloud prices and prediction allowances; documented (official source, checked 9 October 2026).
- Official Flowise repository: archived status, Apache License Version 2.0, npm/Docker setup and self-hosting options; documented (official source, checked 9 October 2026).
- Agent inputs, Message History inputs, model connections and Google connection setup: inspect configuration before replacing an existing flow.
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