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    Flowise AI Agent Builder - Open Source Visual LLM Platform

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    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

    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

    Flowise AI Agent Builder - Open Source Visual LLM Platform

     Info
    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.

    Usage costs (38)

     Info
    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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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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."

    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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