Overview
"Flowise is an open source generative AI development platform that lets developers, AI engineers, and no code builders visually design AI agents, multi agent systems, and LLM powered workflows through a simple drag and drop interface. This preconfigured AMI on AWS delivers a fully operational Flowise environment, eliminating manual installation and configuration so teams can start building agentic applications immediately after launch.
Flowise Step by step Installation Guide: https://meetrix.io/blogs/flowise-developer-guide/ For custom projects of your choice with personalized support, contact us at https://meetrix.io/contact-us
Visual Agent Builder: Design chatflows, agentflows, and multi agent systems through an intuitive drag and drop canvas without writing code.
Retrieval Augmented Generation: Upload documents, PDFs, and datasets to build RAG pipelines backed by native vector database integrations.
Broad Model Support: Connect OpenAI, Anthropic Claude, Llama, and local models through Ollama, avoiding lock in to a single LLM provider.
100+ Integrations: Plug into vector databases, APIs, memory modules, and external tools to extend agent capabilities.
Human In The Loop: Add review checkpoints to agent workflows so teams can approve or adjust actions before execution.
Production Ready Observability: Monitor agent execution with full traces, audit logs, and role based access control for secure team collaboration.
Version: 3.1.2 Operating System: Ubuntu 24.04
Flowise provides a flexible foundation for startups, enterprises, AI engineers, and product teams building agentic applications, internal tools, and customer facing AI assistants. Deploy a production ready AI agent builder in minutes and start shipping LLM powered workflows without the overhead of custom infrastructure. Flowise Step by step Installation Guide: https://meetrix.io/blogs/flowise-developer-guide/ "
Highlights
- Visual AI Agent Builder: Design multi agent systems, chatflows, and LLM workflows through a drag and drop canvas, no coding required.
- Retrieval Augmented Generation Ready: Connect documents and vector databases to build accurate, context aware AI agents and chat assistants.
- Flexible Model and Tool Integration: Support 100+ LLMs, vector databases, APIs, and memory modules for production grade agentic applications.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
|---|---|
t3a.small Recommended | $0.019 |
t2.micro | $0.001 |
r6i.large | $0.024 |
r6a.large | $0.024 |
r5a.large | $0.024 |
r5.large | $0.024 |
c6a.xlarge | $0.029 |
c6a.large | $0.024 |
c5a.xlarge | $0.029 |
c5a.large | $0.024 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
First Release
Additional details
Usage instructions
"Click the ""Continue to Subscribe"" button. After subscribing, you will need to accept the terms and conditions. Click on ""Accept Terms"" to proceed. Please wait for a few minutes while the processing takes place. Once it's completed, click on ""Continue to Configuration"".
IAM Role is set up and configured with the necessary permissions to assume the role for the Flowise service. The IAM Policy is created and responsible for access Route53 and create Letsencrypt SSL certificates and backing up data to the S3 bucket.
Access the application via a browser at http://<your domain name> or http://<Public IPv4 address>. Product will try to create SSL certificate when its deploying, if domain hosted on route53. If the automatic SSL creation unsuccessful then you have to point domain name into server ip, ssh into server and run /root/certificate_generate_standalone.sh. Admin email using for SSL generation."
Resources
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Support
Vendor support
Please contact us through aws@meetrix.io . Please allow up to 12 hours for our support team to address your request.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.