Flowise Review: Key Features and Pros&Cons

Name: Flowise
Author: Flowise

What it is:Flowise is an open-source, low-code platform for visually building and orchestrating customized AI agents and LLM applications via drag-and-drop.
Best for:AI developers and startups, Individuals and small teams building chatbots, Companies requiring data privacy and on-premises deployment
Pricing:Starting from $0/month
Rating:85/100Very Good
Expert's conclusion:For Technical Teams & Small-Medium Business Creating Custom AI Agents W/ Full Control & Zero Licensing Costs, Flowise Is The Best Choice.

Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

Company Overview

FlowiseAI is an open source, low code platform that allows users to build their own LLM apps and AI agents using a visual drag and drop interface. The founders are Henry Heng and Chung Yau Ong and they were funded by Y Combinator and launched in 2023. The platform provides developers with the ability to quickly prototype and deploy GenAI workflows. FlowiseAI was purchased by Workday in 2025 to enable them to develop AI agents on behalf of their customers who use Workdays Human Capital Management (HCM) and Finance platforms.

Acquired

📍Dublin, Ireland

📅Founded 2023

🏢Subsidiary

TARGET SEGMENTS

DevelopersEnterprisesConsulting FirmsFinanceHealthcare

Key Metrics

📊

42,000+

GitHub Stars

📊

$500K

Total Funding

👥

Enterprise adoption (Accenture, AWS, Deloitte)

Customers

📊

Millions

Chats & Workflows

Credibility Rating

85/100

Excellent

Despite being founded just over two years ago, the company's rapid growth, strong community support and acquisition by a well-established public company such as Workday all contribute to FlowiseAI's high level of credibility.

BREAKDOWN

Product Maturity80/100

Company Stability90/100

Security & Compliance75/100

User Reviews85/100

Transparency95/100

Support Quality85/100

TRUST SIGNALS

Acquired by Workday (Aug 2025)42,000+ GitHub starsY Combinator backedEnterprise customers: Accenture, AWS, Deloitte

Company History

2023

Company Founded

FlowiseAI is an open source GenAI development platform founded by Henry Heng and Chung Yau Ong and supported by Y Combinator.

2023

Convertible Note Funding

FlowiseAI raised $500K in convertible note funding.

2025

Acquired by Workday

FlowiseAI was purchased by Workday in order to help increase the speed at which Workday can develop AI agents for clients in HCM and Finance workflows.

Key Features

✨

Visual Drag-and-Drop Builder

FlowiseAI has a low-code interface that makes it easier for developers to build LLM Apps, chatbots, and multi-agent systems without having to write extensive amounts of code.

💬

Multi-LLM Support

FlowiseAI integrates with GPT-4, Gemini, Claude and many other large language models.

✨

Full Development Lifecycle

FlowiseAI supports the prototyping, debugging, analytics, deployment, and observability of your GenAI workflows from one platform.

✨

Multi-Agent Orchestration

FlowiseAI allows you to build distributed workflow orchestration systems that include collaborative AI agents.

✨

Open-Source Foundation

FlowiseAI is fully open source, includes GitHub integration and has a growing number of developers supporting the project.

✨

Production Deployment

FlowiseAI allows developers to deploy their GenAI workflows either in the cloud or locally with the same amount of scalability found in enterprise grade systems.

Tech Stack

Infrastructure

Cloud and self-hosted deployment options

Technologies

JavaScriptNode.jsReactLangChain

Integrations

GPT-4GeminiClaudeGitHubMultiple LLMs

AI/ML Capabilities

Visual orchestration of LLM flows supporting multi-agent systems and distributed workflows

Inferred from product description as low-code LLM platform builder

Use Cases

AI Developers & Engineers

Developers can use FlowiseAI to rapidly prototype their LLM Applications using a visual drag and drop interface versus writing repetitive code.

Enterprise IT Teams

Developers can build their own custom AI Agents for their internal workflows that can be deployed directly into production with full observability.

Consulting Firms

Developers can quickly create client specific chat bot solutions that utilize the LLM providers that the client is most comfortable with.

HR & Finance Teams (Workday customers)

Developers can build custom AI agents that integrate directly with Workday's HCM and Financial workflows.

NOT FORReal-time Trading Systems

Due to the fact that FlowiseAI uses open source technology, it is not ideal for use cases where extremely fast processing (sub-second latency) is required, such as High Frequency Trading (HFT) environments.

NOT FORHighly Regulated Medical Devices

While FlowiseAI is open source, this also means that there is no specific FDA validation for the software used for medical devices.

Pricing

Pricing information with service tiers, costs, and details
☐Service	$Cost	ℹDetails	🔗Source
Free	$0/month	2 Flows & Assistants, 100 Predictions/month, 5MB Storage, Evaluations & Metrics, Custom Embedded Chatbot Branding, Community Support	—
Starter	$35/month	Unlimited Flows & Assistants, 10,000 Predictions/month, 1GB Storage, Database Backup, 1 Week Log Retention, Evaluations & Metrics, Custom Chatbot Branding, Community Support. 14 days free trial available.	—
Pro	$65/month	Everything in Starter plus 50,000 Predictions/month, 10GB Storage, Unlimited Workspaces, 5 Users included then $15/user/month, Admin Roles & Permissions, 3 Months Log Retention, Priority Support. 14 days free trial available.	—
Enterprise	Custom pricing	On-Premise Deployment, Air-gapped Environments, SSO & SAML, LDAP & RBAC, Versioning, Audit Logs, 99.99% Uptime SLA	—

Free$0/month

2 Flows & Assistants, 100 Predictions/month, 5MB Storage, Evaluations & Metrics, Custom Embedded Chatbot Branding, Community Support

Starter$35/month

Unlimited Flows & Assistants, 10,000 Predictions/month, 1GB Storage, Database Backup, 1 Week Log Retention, Evaluations & Metrics, Custom Chatbot Branding, Community Support. 14 days free trial available.

Pro$65/month

Everything in Starter plus 50,000 Predictions/month, 10GB Storage, Unlimited Workspaces, 5 Users included then $15/user/month, Admin Roles & Permissions, 3 Months Log Retention, Priority Support. 14 days free trial available.

EnterpriseCustom pricing

On-Premise Deployment, Air-gapped Environments, SSO & SAML, LDAP & RBAC, Versioning, Audit Logs, 99.99% Uptime SLA

Competitive Comparison

Feature	Flowise	n8n	Zapier
Primary Use Case	AI Agents & LLM Workflows	Workflow Automation	Integration Automation
Low-Code Builder	Yes	Yes	Yes
Open Source	Yes	Yes	No
Starting Price	$0 (Free tier)	Comparable	Budget-friendly
Free Tier Available	Yes	Yes	Yes
100+ Integrations	Yes	Yes (1000+)	Yes (5000+)
Enterprise SSO/SAML	Yes (Enterprise)	Yes	Yes (Pro+)
On-Premise Option	Yes (Enterprise)	Yes	No
AI-Native Focus	Yes	Limited	No

Primary Use Case

FlowiseAI Agents & LLM Workflows

n8nWorkflow Automation

ZapierIntegration Automation

Low-Code Builder

FlowiseYes

n8nYes

ZapierYes

Open Source

FlowiseYes

n8nYes

ZapierNo

Starting Price

Flowise$0 (Free tier)

n8nComparable

ZapierBudget-friendly

Free Tier Available

FlowiseYes

n8nYes

ZapierYes

100+ Integrations

FlowiseYes

n8nYes (1000+)

ZapierYes (5000+)

Enterprise SSO/SAML

FlowiseYes (Enterprise)

n8nYes

ZapierYes (Pro+)

On-Premise Option

FlowiseYes (Enterprise)

n8nYes

ZapierNo

AI-Native Focus

FlowiseYes

n8nLimited

ZapierNo

Competitive Position

vs n8n

Both offer free tiers and are open-source platforms for low-code automation. Flowise is specifically designed for the optimization of workflows using AI agents and LLMs and can be used for other automation as well, while n8n is a general purpose automation platform that does not include any LLM specific features like memory, data loaders, and model orchestration.

Use Flowise for your AI native application and LLM workflow needs and use n8n for your business process automation needs.

vs Zapier

Zapier leads the market for integration automation with over 5,000 pre-built integrations and an existing user base. While Zapier provides many tools to support the integration of systems, it also does not have the AI first capabilities nor the open source nature of Flowise.

Use Zapier when you need to connect one system to another, and use Flowise when you want to integrate AI into a conversational or autonomous agent.

vs LangChain/LlamaIndex (Libraries)

Flowise uses a visual interface that allows anyone to use the capabilities of LangChain and LlamaIndex without requiring them to write code. This makes it easier for people who do not have programming experience to create their own applications with the capabilities of these two powerful libraries.

Use Flowise if you are a non-technical developer building your own AI application, and use the direct API access for developers that require full control.

Pros & Cons

Pros

Start developing your AI agent without the upfront cost or risk of vendor lock-in by starting with an open-source and free-to-use tool.
Build and orchestrate complex LLM workflows without writing any code using Flowise's visual drag-and-drop interface.
Over 100 integrations are included out-of-the-box including LangChain, LlamaIndex, HuggingFace, Ollama, and many others.
Flowise can be self-hosted which means that you can run the tool on your premises or even in an air-gapped environment to maintain complete control over your data.
Flowise provides the ability to work with 100+ LLMs as well as local models (HuggingFace, Ollama, LocalAI).
Flowise can be deployed in a variety of ways including cloud, on premise, via Docker, and even embedded directly within an application.
The Enterprise Tier of Flowise is affordable and includes Single-Sign-On (SSO), SAML, Audit Logs, and a Service Level Agreement (SLA) of 99.99%.
The community behind Flowise continues to actively develop the product with new LLM integrations and feature additions being added regularly.

Cons

There is limited documentation available for Flowise compared to established platforms and therefore there may be a steep learning curve for users looking to create complex workflows.
Much smaller community compared to Zapier or Make — much fewer pre-constructed templates and examples
The free-tier has too many restrictions — only 100 predictions/month could possibly limit your ability to test
The prediction pricing model is unclear — we are unsure at what point our usage of external API calls will affect our limits
Pricing structure for Enterprise is opaque — a quote is needed to determine if you can use truly enterprise-level features
As a young platform there are few case studies available — this means that this platform has not been tested as much as the incumbent platforms in a production environment
Support depends on which level you have paid for — free users only have community-based support

Best For

AI developers and startups — The free-tier is based on an open-source platform — allows for rapid development of AI agents and LLM applications before you have to pay anything
Individuals and small teams building chatbots — The $35/month Starter plan, which provides 10,000 predictions per month — is a great price point for deploying small-scale chatbots
Companies requiring data privacy and on-premises deployment — Self-hosting and air-gapped deployment options give you full control over all of your sensitive data
Enterprises needing LLM orchestration and AI agent platforms — The Enterprise Tier includes Single-Sign-On (SSO), Audit Logs, Role-Based Access Control (RBAC), Versioning, and a 99.99% Service Level Agreement (SLA) for environments that require regulation compliance
Organizations using multiple LLMs — Supports native integration with 100+ LLMs and Local Models (Ollama, HuggingFace) without any vendor lock-in

Not Suitable For

Non-technical business users unfamiliar with AI — May require knowledge of LLMs, RAG, and Agents. If you want a more straightforward automation solution then Zapier or Make would likely be a better choice.
Users needing extensive pre-built integrations — While it has 100+ integrations, Zapier currently offers 5,000+ pre-constructed connectors out-of-the-box. Choose Zapier for the most comprehensive integration library.
Organizations with very low budgets — The free-tier is very limiting (100 predictions/month). Either choose one of the fully free solutions or one of the pure open source libraries such as LangChain.
High-scale production environments requiring extensive vendor support — It is a younger platform with less people on the support team than the long-established RPA/automation vendors. Use UiPath or Blue Prism for critical scale.

Limits Restrictions

Predictions per Month: Free: 100/month, Starter: 10,000/month, Pro: 50,000/month, Enterprise: Custom
Overage Cost: $0.001 per prediction after monthly limit on Starter and Pro tiers
Storage: Free: 5MB, Starter: 1GB, Pro: 10GB
Flows & Assistants: Free: 2, Starter and Pro: Unlimited
Workspaces: Free and Starter: Limited, Pro: Unlimited
Log Retention: Starter: 1 week, Pro: 3 months, Enterprise: Custom
Team Members: Pro: 5 included then $15/user/month additional
Deployment Options: Free/Starter/Pro: Cloud only, Enterprise: Cloud + On-Premise + Air-gapped
Authentication Features: Enterprise: SSO, SAML, LDAP, RBAC

Security & Compliance

On-Premise DeploymentEnterprise tier supports self-hosting in air-gapped environments for complete data control and compliance with strict data residency requirements

Enterprise AuthenticationSSO & SAML support with LDAP & RBAC (Role-Based Access Control) available on Enterprise tier

Audit LoggingEnterprise tier includes audit logs for tracking all user actions and compliance requirements

Uptime SLAEnterprise tier guarantees 99.99% uptime SLA for production deployments

VersioningEnterprise tier includes workflow versioning capabilities for change management and rollback

Open Source BenefitsCode transparency allows security audits and community review of security practices

LLM Orchestration FeaturesIncludes moderation capabilities for filtering harmful content from LLM responses

Customer Support

Channels

All tiers, community-drivenPro and Enterprise tiersflowise.io

Satisfaction: Not provided in search results

Support Limitations

•Free tier limited to community support only

•Dedicated support staff not explicitly mentioned for Pro tier

•No phone or live chat support mentioned in pricing tiers

Api Integrations

API Type: REST API for deploying and managing flows, chatflows, and agentflows
Authentication: API Key authentication for cloud deployments; self-hosted uses standard HTTP auth
Webhooks: No native webhook support documented; use API callbacks for workflow triggers
SDKs: Official TypeScript and Python SDKs for API integration and embedding
Documentation: Good - comprehensive API docs at docs.flowiseai.com with deployment and prediction endpoints
Sandbox: Cloud platform offers testing environment; self-hosted requires local setup
SLA: Cloud Pro tier offers production SLAs; self-hosted has no guarantees
Rate Limits: Cloud tiers have rate limits (Starter: 100 req/min, Pro: 1000 req/min)
Use Cases: Deploy custom AI agents to production, embed chat widgets, trigger workflows programmatically, integrate with external apps

Faq

What is Flowise?

Flowise is an open-source low-code platform to build AI Agents and LLM Workflows utilizing Drag-N-Drop Visual Builders. There are multiple builders including Agentflow, Chatflow, and Assistant builders to create a wide range of solutions from simple chatbots to complex Multi-Agent Systems. There are two main deployment methods to choose from: Self Hosting and Cloud.

How does Flowise differ from LangChain?

LangChain is a developer framework that requires writing code, while Flowise is a visual drag-and-drop developer interface that is based on LangChain and LlamaIndex. Flowise allows users who do not write code to create production ready AI agents. Both Flowise and LangChain use the same set of LLMs as well as the same toolset.

Is Flowise free to use?

Yes, Flowise is fully open source and free for self hosting. It uses a cloud model for which there is a free starter tier that can be upgraded to a paid pro/enterprise tier. There is no vendor lock-in due to its ability to integrate with 100+ LLMs and vector DBs.

Can I self-host Flowise?

Yes, Flowise can be installed locally by running the following one line command in your terminal: npx flowise start. Flowise supports docker deployment and can scale horizontally with message queues and worker processes. Therefore it can be run entirely on premises.

What LLMs does Flowise support?

Flowise currently supports integration with 100+ different LLMs including OpenAI's GPT-4o, Google Gemini, Anthropic Claude, AWS Bedrock, and many other LLMs through an interface called Ollama / LM Studio, as well as Open Source LLMs. In addition to LLMs, Flowise supports all types of embeddings and vector databases.

How do I deploy my Flowise agents?

Flowise can be deployed either as a managed service via Flowise Cloud or as a self hosted solution. Once deployed, production grade flows will have REST API endpoints available to make predictions against them. Additionally, you can embed Flowise chat widgets directly into websites via SDKs. Also, since Flowise uses a horizontal scaling model, it is possible to add additional worker nodes to increase processing capacity.

Is Flowise secure for production use?

When deploying Flowise on premises, you retain complete control over your data. On the other hand, when you deploy Flowise on the cloud, you gain access to the same level of enterprise grade security as provided by the cloud provider, such as API key based security. In addition, both Flowise cloud and on premises solutions provide the ability to include a human in the loop to review high risk decisions made by AI models. Finally, both solutions allow you to integrate with your own enterprise wide vector store.

What are Flowise limitations?

While Flowise can easily manage complex agent systems, it is still likely that some very complex agent systems will need to be implemented with custom code. Additionally, even though the cloud version of Flowise has a free tier, it does come with limitations on usage. Another limitation is that Flowise does not have a native app builder for building mobile apps. However, Flowise was designed specifically to handle structured LLM orchestration rather than arbitrary software automation.

Expert Verdict

As a fully open source visual builder for both AI Agents & LLM Orchestration, Flowise provides an alternative to developers and non-developer alike in terms of developing an AI Agent. With its Node Based Architecture that can support anything from basic RAG Chatbots, to Complex Multi-Agent Workflows that include Human-in-the-Loop, it also provides an unprecedented amount of Value via Free Self Hosting, Multiple Integrations, & Production Deployment Options.

Companies/Teams Building Custom AI Agents Without Development Resources
Companies That Need Data Sovereignty Through Self Hosting
Developers Prototyping LLM Apps 10X Faster Than Coding
Small-Medium Businesses That Need Production AI Without Vendor Lock-In In The Cloud
Experimentation & Deployment Of Multi-Agent Systems

!
Use With Caution

Large Enterprise Customers That Require White-Glove Managed Services
Teams Building Highly Unstructured Browser Automation
Organizations That Have Strict Mobile First Requirements
Users That Are Unfamiliar With LLM Prompting Patterns

Not Recommended For

Budget Teams That Do Not Want To Self-Manage Their Own Infrastructure
No Code Users Expecting A Simple Zapier Like Experience
Applications That Require Low Latency (< 500 ms) In Real Time
Companies That Need Extensive Pre-Built SaaS Integrations

Expert's Conclusion

For Technical Teams & Small-Medium Business Creating Custom AI Agents W/ Full Control & Zero Licensing Costs, Flowise Is The Best Choice.

Best For

Companies/Teams Building Custom AI Agents Without Development ResourcesCompanies That Need Data Sovereignty Through Self HostingDevelopers Prototyping LLM Apps 10X Faster Than Coding

Research Summary

Key Findings

Flowise Is The Leading Open Source Visual AI Agent Builder W/ Drag And Drop Agentflow, Chatflow, & Assistant Builders That Support Over 100 LLMs & Provide Extensive Integrations. Agentflow V2 Provides Advanced Multi-Agent Orchestration w/ Human-in-the-Loop & State Management. Flowise Also Offers Free Self Hosting To Eliminate Vendor Lock-In, While Providing A Scalable Option In The Cloud. Documentation Includes API's, SDK's, & Node Configurations For Deployment.

Data Quality

Excellent - comprehensive official documentation at docs.flowiseai.com covers all builders and APIs. Active GitHub confirms open-source status and community contributions. Multiple third-party tutorials validate capabilities. Pricing from official cloud tiers.

Risk Factors

Self Hosting Requires Expertise In DevOps For Production Scale

Rapid Evolution May Require Updates To Workflow (V1 to V2)

Cloud Free Tier Has Limitations On High Volume Production

Competitive open source ecosystem

Last updated: February 2026

Additional Info

Open Source Community

Very active GitHub repository with tens of thousands of stars and numerous new versions. Has a large developer community contributing nodes and integrations. Flowise is powering companies' production AIs across multiple sectors.

Deployment Flexibility

npx flowise start single command local installation as well as Docker support. Horizontal scaling can be achieved through message queues and worker nodes. Can embed chat widgets or expose REST APIs to connect with any frontend.

Integration Ecosystem

Currently supports over 100 LLMs (OpenAI, Anthropic, open source) along with embeddings and vector stores (Pinecone, Weaviate, local). Also supports custom tools. LangChain/LlamaIndex has integrated battle-tested components into Flowise.

Educational Resources

The documentation at flowiseai.com includes node-by-node guides for all nodes and flows. YouTube tutorials provide step-by-step instructions for creating entire agent builds. Courses are available on Flowise in Codecademy and additional platforms.

Production Maturity

The cloud platform allows enterprise clients to use the service while self-hosted deployments are being run by users in production environments around the world. API-first architecture allows developers to embed Flowise in any application.

Alternatives

•
LangChain / LangGraph: A developer-focused LLM orchestration framework that Flowise is built upon. Offers maximum flexibility when it comes to developing complex agent architectures, however it does require a lot of code writing. Ideal for engineering teams looking to build their own from scratch. (langchain.com)
•
n8n: An open source workflow automation tool that offers over 300 different app integrations and also has native LLM nodes. This product has more of an automation focus than agentic AI. It would be best suited for SaaS-heavy workflows and less sophisticated agent reasoning. (n8n.io)
•
Haystack: An open source RAG/NLP framework designed to create search and retrieval pipelines. Is more of a niche product compared to Flowise which is a general purpose agent builder. Would be ideal for searching documents versus conversational agents. (haystack.deepset.ai)
•
CrewAI: A python framework for creating multi-agent collaboration systems. Similar to LangChain but more focused on agent-orchestration. Would be better suited for research or prototyping and less production friendly than Flowise. (crewai.com)
•
LlamaIndex Workflows: A data framework companion that is primarily focused on creating RAG and indexing pipelines. Has less conversational agent features than Flowise. Would be ideal for retrieving data from structured data sources. (llamaindex.ai)
•
Voiceflow: No-code conversational AI builder focused on voice/chat assistants. More polished UI but closed-source and LLM-limited. Better for consumer-facing chatbots, less agentic capabilities. (voiceflow.com)