Sold by: Meetrix.io
Deployed on AWS
AWS Free Tier
Flowise is an open source AI agent builder that lets developers, AI engineers, and no code builders visually design agents, chatflows, and LLM powered workflows through a drag and drop interface. This preconfigured AMI deploys a fully operational Flowise environment for building multi agent systems, retrieval augmented generation pipelines, and conversational assistants connected to 100+ LLMs, vector databases, and external tools, without manual installation or configuration.
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
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Delivery method
Delivery option
Flowise Deployment with Single Instance AI Agent Platform
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
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 |
Dimensions summary
You pay by the hour for the EC2 instance running this pre-configured software, with no upfront commitment. The dimensions are not feature tiers. Each one maps to a specific AWS instance type, so your hourly rate depends on the compute size you pick. Options span burstable t2 and t3 families for lighter workloads, general-purpose m4 through m7 families, compute-optimized c5 and c6 families, and memory-optimized r5 and r6 families. Within each family, sizes range from micro and small up to xlarge. Larger instances cost more per hour. The recommended baseline is t3a.medium.
Top-of-mind questions for buyers
Each dimension runs a pre-configured Amazon Machine Image on the matching EC2 instance type. Your hourly charge maps to one running instance of that size. The software comes ready to build LLM applications through a visual drag-and-drop interface, with no manual setup needed.
Hourly software charges apply only while the instance runs. If you stop the instance from the EC2 console, software charges pause. Underlying AWS storage fees for the disk volume may still apply. You can restart the instance at any time to resume.
The dimensions are not feature tiers, so the software works the same on any instance. Your choice affects compute power and hourly cost only. The deployment guide recommends t3a.medium as a baseline. Pick a size to match your workload, then switch later if needed.
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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
Vendor resources
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.
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