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This product has charges associated with it for seller support. Langflow, the open source visual builder for AI agents and RAG applications, preinstalled in a Python virtual environment behind an nginx reverse proxy on port 80. Login is required and a unique admin password is generated on first boot. Backed by 24/7 cloudimg support.
Overview
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Secure Langflow sign-in
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Langflow flows dashboard
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Langflow visual flow builder
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
Overview Langflow is the popular open source, low-code visual builder for AI agents, chatbots and retrieval augmented generation (RAG) applications. You design flows by dragging and connecting components on a canvas - language models, prompts, vector stores, retrievers, tools and agents - then run and serve them through a built in API. This image delivers Langflow fully installed and configured as a system service, so a production ready AI agent builder is running within minutes of launch. The current release available is Langflow 1.9.
Application Stack Langflow is installed into a dedicated Python virtual environment under /opt/langflow and run by an unprivileged service account on Python 3.12. It listens on the loopback address and an nginx reverse proxy fronts the application on port 80, with the WebSocket and streaming upgrade headers Langflow needs to stream flow output and a raised upload limit for file ingestion. A systemd service starts Langflow on boot and restarts it on failure.
Secure By Default Langflow ships with authentication disabled out of the box. This image instead requires login: it creates a single administrator account whose password, and the key used to encrypt the credentials you store in your flows, are generated uniquely for your instance on its first boot and written to a root only file. No shared or default credentials ship in the image.
Ready To Use Browse to the instance on port 80, sign in as the administrator, and start building. Connect Langflow to any language model endpoint you choose - OpenAI, Anthropic, Amazon Bedrock, or a self hosted model - and to your vector store of choice. Your flows, the database and the encryption key live on a dedicated, independently resizable storage volume kept separate from the operating system disk. Because Langflow calls out to an external model endpoint, the image is CPU only and ships no model weights.
cloudimg Support 24/7 technical support by email and chat. Help with Langflow deployment, connecting language model and vector store providers, building agent and RAG flows, serving flows through the API, TLS termination and scaling.
Use Cases Building and serving AI agents and chatbots. Prototyping and deploying retrieval augmented generation pipelines. A self hosted, in your own VPC alternative to SaaS agent builders for teams with data residency or compliance requirements. Internal AI tooling and workflow automation.
All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Highlights
- Langflow, the open source low-code visual builder for AI agents and RAG applications, preinstalled as a systemd service in a Python virtual environment behind an nginx reverse proxy on port 80, ready to build and serve flows with no manual setup
- Secure by default: login is required (Langflow ships with auth disabled) and a fresh administrator password plus credential-encryption key are generated for every instance on first boot and stored in a root only file
- 24/7 technical support from cloudimg, with expert help connecting model and vector store providers, building agent and RAG flows, serving them through the API, TLS termination and scaling
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
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Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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Dimension | Description | Cost/hour |
|---|---|---|
m5.large Recommended | m5.large | $0.08 |
t3.micro | t3.micro instance type | $0.04 |
t2.micro | t2.micro instance type | $0.04 |
g7e.12xlarge | g7e.12xlarge instance type | $0.24 |
x1.16xlarge | x1.16xlarge instance type | $0.24 |
g6e.24xlarge | g6e.24xlarge instance type | $0.24 |
c8id.large | c8id.large instance type | $0.08 |
c7i.12xlarge | c7i.12xlarge instance type | $0.24 |
c8i.xlarge | c8i.xlarge instance type | $0.12 |
m5a.16xlarge | m5a.16xlarge instance type | $0.24 |
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Refunds available on request.
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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
Initial release of Langflow 1.9 visual AI agent and RAG builder.
Additional details
Usage instructions
Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant; on Ubuntu it is 'ubuntu'). The Langflow application is served by nginx on port 80: browse to http://<instance-public-ip>/ and sign in. Retrieve the generated administrator credentials with: sudo cat /root/langflow-credentials.txt (username 'admin'). Langflow runs on loopback port 7860 and is reached only through the nginx proxy on port 80. Configuration lives in /etc/langflow/langflow.env and the data (SQLite database, flows, encryption key) under /var/lib/langflow. The service is managed with systemctl (langflow.service, nginx.service). After signing in, connect Langflow to your chosen language model endpoint (OpenAI, Anthropic, Amazon Bedrock, or a self hosted model) and vector store, then build a flow on the canvas and serve it through the built in API. The user guide covers building a first flow, serving it over the API, and enabling HTTPS.
Resources
Vendor resources
Support
Vendor support
cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .
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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Langflow is an open-source visual framework for building multi-agent and RAG AI applications. This Lynxroute build is security baked in: authentication enabled, Nginx TLS reverse proxy, unique admin credentials at first boot, and CIS Level 1 hardened Ubuntu 24.04 LTS base.
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