Build AI Agents

Visually

Open source agentic systems development platform

Flowise - Visually build AI agents and evaluate their performance  | Product Hunt
Backed byYCombinatorCombinator

Trusted and used by teams around the globe

AWS
ThermoFisher
Priceline
Accenture
QMIC
GlobeTelecom
InsightSoftware
SynthesisHealth
Publicis
Uneeq
BTS
Deriv
Deloitte
FluencyAcademy
AWS
ThermoFisher
Priceline
Accenture
QMIC
GlobeTelecom
InsightSoftware
SynthesisHealth
Publicis
Uneeq
BTS
Deriv
Deloitte
FluencyAcademy
AWS
ThermoFisher
Priceline
Accenture
QMIC
GlobeTelecom
InsightSoftware
SynthesisHealth
Publicis
Uneeq
BTS
Deriv
Deloitte
FluencyAcademy

Iterate, fast

Flowise provides modular building blocks for you to build any agentic systems, from simple compositional workflows to autonomous agents

  • $ npm install -g flowise
  • $ npx flowise start
Features 01
Agentflow

Multi Agents

Build multi-agent systems with workflow orchestration distributed across multiple coordinated agents

TXT
PDF
RTF
DOC
HTML
CSS
JS
JSON
XML
CSV
MD
SQL
Chatflow

Chat Assistants

Build single-agent systems and chatbots with support for tool calling and knowledge retrieval (RAG) from various data sources

Features 03
HITL

Human In the Loop

Allow humans to review tasks performed by agents within the feedback loop

Features 04
Observability

Execution Traces

Full execution traces, support Prometheus, OpenTelemetry and other observability tools

  • import requests
  •  
  • url = "/api/v1/prediction/:id"
  •  
  • def query(payload):
  •   response = requests.post(
  •     url,
  •     json = payload
  •   )
  •   return response.json()
  •  
  • output = query({
  •   question: "hello!"
  • )}
Developer Friendly

API, SDK, Embed

Extend and integrate to your applications using APIs, SDK and Embedded Chat

  • APIs
  • Embedded Widget
  • Typescript & Python SDK
Features 06
Enterprise Ready

Production Scale

Deploy and scale your AI applications with enterprise-grade infrastructure, support for both cloud and on-premises environments

  • 100+ LLMs, Embeddings, Vector DBs
  • On-prem & Cloud deployment
  • Scale horizontally with message queue and workers

Customer Success Stories

See how our customers are transforming their businesses

Thermo Fisher Scientific
Thermo Fisher Scientific

Flowise has been instrumental in empowering our business partners to independently build and deploy AI-driven workflows. By enabling self-service capabilities, it has significantly reduced reliance on engineering teams for routine solution development.

Bharadwaj Ramachandran, AI Software Engineering Manager

InsightSoftware
InsightSoftware

Flowise allows us to supercharge our existing embedded analytics platform with built-in AI features that our clients absolutely love

Terrence Sheflin, Director of Engineering

UneeQ Digital Humans
UneeQ Digital Humans

UneeQ is very excited to utilize a best-in-class engine that orchestrates AI as part of our proprietary AI brain, Synapse. Flowise has been able to dramatically decrease the resources required to deploy our digital human experiences

Tyler Merritt, CTO, UneeQ

Qmic
Qmic

Integrating Flowise with many other components and utilizing the function-calling capability of LLMs significantly enhanced the quality and efficiency of our new copilot feature in the QmicQatar iFleet product

Dr. Fethi Filali, Director of Technology & Applied Research

BTS
BTS

With Flowise, we were able to accelerate our internal "Build your own AI assistants easily & intuitively" initiative. Truly a game-changer in our tech journey

Iokin Pardo, BTS Digital Senior Director

Liverpool Hospital
Liverpool Hospital

Flowise enable us to do magic using GenAI with state of the art LLM and other suite of tools

Dr. Tu Hao Tran, General Cardiologist

Publicis Groupe
Publicis Groupe

Flowise has truly changed how we approach AI. It’s simple enough to prototype an idea in minutes, yet powerful enough to take all the way to production

David Micotto, Senior Director of DX & AI

Pricing

Start building for free, then scale with your users and teams

Free

$0/month

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

Starter

For individuals & small teams

$35/month

  • Everything in Free
  • Unlimited Flows & Assistants
  • 10,000 Predictions / month
  • 1GB Storage
  • Community Support

Pro

For medium-sized businesses

$65/month

  • Everything in Starter
  • 50,000 Predictions / month
  • 10GB Storage
  • Unlimited Workspaces
  • 5 Users+ $15/user/month
  • Admin Roles & Permissions
  • Priority Support

Enterprise

For large organizations

Contact Us

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

Community 🫶

Open source community is the heart of Flowise. See why developers love and build using Flowise

Flowise just reached 12,000 stars on Github. It allows you to build customized LLM apps using a simple drag & drop UI. You can even use built-in templates with logic and conditions connected to LangChain and GPT: ▸ Conversational agent with memory ▸ Chat with PDF and Excel

833
Reply

A multi-modal chatbot that effortlessly merges text and image generation into seamless conversations. 🚀 📢 Watch the demo with conversation starting with asking for advice on building strong financial habits (sped up slightly for demo) 🪄Chatbot magically generates a visual

21
Reply

Webinars

Learn how to use Flowise from different webinar series with our partners

How to Build No-Code SQL Chatbots using Flowise
SingleStore
How to Build No-Code SQL Chatbots using Flowise
LlamaIndex Webinar: Build No-Code RAG with Flowise
Milvus
LlamaIndex Webinar: Build No-Code RAG with Flowise
How to Build a NoCode AWS Bedrock LLM App on Flowise
SingleStoreAWS
How to Build a NoCode AWS Bedrock LLM App on Flowise
Drag and Drop LLMs: Simplifying RAG with FlowiseAI and Milvus
Milvus
Drag and Drop LLMs: Simplifying RAG with FlowiseAI and Milvus
LangChain Low-Code/No-Code Webinar
Langchain
LangChain Weekly Webinar - Low-Code/No-Code LLM

Enterprise

Looking for specific use cases and support?