Sold by: Lynxroute
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This product has charges associated with it for hardening, security configuration, and support.
Langflow is an open-source visual framework for building multi-agent and RAG AI applications. Drag-and-drop interface to compose LLM-powered workflows with OpenAI, Anthropic, Ollama, and 100+ integrations. This build is secure by default: authentication enabled, Nginx TLS reverse proxy, unique admin credentials at first boot, and CIS Level 1 hardened Ubuntu 24.04 LTS base.
Overview
This is a repackaged software product wherein additional charges apply for hardening, security configuration, and support.
WHAT IS LANGFLOW
Langflow is an open-source visual framework for building multi-agent and RAG (Retrieval-Augmented Generation) AI applications. It provides a drag-and-drop interface to compose LLM-powered workflows with support for OpenAI, Anthropic, Ollama, HuggingFace, and hundreds of other integrations.
Langflow is the workflow layer for AI applications - connect data sources, embedding models, vector stores, LLMs, and output handlers visually without writing pipeline code.
WHY SELF-HOST YOUR AI WORKFLOW BUILDER
Cloud AI platforms charge per API call. For teams building production AI workflows, self-hosted Langflow eliminates per-request costs and keeps your data - documents, prompts, embeddings - within your own VPC.
ENHANCED SECURITY OUT OF THE BOX
Default Langflow deployments have LANGFLOW_AUTO_LOGIN=True - anyone who reaches the port has full access. This AMI enables authentication by default, places Langflow behind an Nginx TLS proxy, and restricts direct port access.
This AMI pre-configures all of these for you at first boot.
WHAT THIS AMI ADDS
Security defaults:
- Authentication enabled - LANGFLOW_AUTO_LOGIN=False
- Admin password equals EC2 Instance ID - unique per instance, change after first login
- Nginx reverse proxy with TLS - Langflow port 7860 bound to localhost only
- UFW firewall - ports 22, 80, 443 only; port 7860 not exposed publicly
- fail2ban - SSH brute-force protection
- AppArmor - mandatory access control
OS hardening (CIS Level 1):
- CIS Ubuntu 24.04 LTS Level 1 benchmark applied via ansible-lockdown
- auditd - system call auditing
- SSH hardening - PasswordAuthentication disabled, key-only access
- Kernel hardening - SYN cookies, ASLR, rp_filter, TCP BBR
- IMDSv2 enforced - SSRF protection
Compliance artifacts (inside the AMI):
- SBOM - CycloneDX 1.6 software bill of materials at /etc/lynxroute/sbom.json
- CIS Conformance Report - OpenSCAP HTML report at /etc/lynxroute/cis-report.html
- Tailored CIS profile at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
Quick Start:
- Launch instance (t3.medium required)
- Open Security Group - allow TCP 443 and TCP 80 from your IP
- Wait 1-2 minutes after instance start
- SSH: ssh -i key.pem ubuntu@<PUBLIC_IP>
- Read credentials: sudo cat /root/langflow-credentials.txt
- Open https://<PUBLIC_IP> in your browser - accept self-signed cert warning
- Log in: username admin, password = EC2 Instance ID
Credentials saved to /root/langflow-credentials.txt at first boot.
Highlights
- Langflow secure by default: authentication enabled, Nginx TLS reverse proxy, admin credentials unique per instance - no open access out of the box.
- CIS Level 1 hardened Ubuntu 24.04 LTS: auditd, fail2ban, AppArmor, SSH key-only, IMDSv2 enforced, SBOM and CIS Conformance Report included for compliance teams.
- Visual AI workflow builder: drag-and-drop interface for RAG pipelines, multi-agent flows, and LLM automation with 100+ integrations - no OpenAI/Anthropic subscription costs at scale.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.10 |
t3.large | $0.15 |
m6i.xlarge | $0.25 |
m6i.large | $0.18 |
Vendor refund policy
We do not offer refunds for this product. AWS infrastructure charges (EC2, EBS, data transfer) are billed separately by AWS and are not refundable by us.
Legal
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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
Version 1.9.0 - Initial release (April 2026)
- Langflow 1.9.0 on Ubuntu 24.04 LTS
- CIS Level 1 hardening applied (ansible-lockdown/UBUNTU24-CIS)
- Authentication enabled by default - LANGFLOW_AUTO_LOGIN=False
- Admin password equals EC2 Instance ID - change after first login
- Nginx reverse proxy with TLS - Langflow bound to localhost only
- UFW firewall pre-configured (ports 22, 80, 443 only)
- fail2ban, auditd, AppArmor pre-configured
- SBOM (CycloneDX 1.6) at /etc/lynxroute/sbom.json
- CIS Conformance Report (OpenSCAP) at /etc/lynxroute/cis-report.html
- Tailored CIS profile at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
- IMDSv2 enforced
- Startup time: ~60 seconds after instance launch
Additional details
Usage instructions
- Launch instance (t3.medium required)
- Open Security Group - allow TCP 443 and TCP 80 from your IP
- Wait 1-2 minutes after instance start
- SSH: ssh -i key.pem ubuntu@<PUBLIC_IP>
- Read credentials: sudo cat /root/langflow-credentials.txt
- Open https://<PUBLIC_IP> in your browser - accept self-signed cert warning
- Log in: username admin, password = EC2 Instance ID
Credentials saved to /root/langflow-credentials.txt at first boot.
Resources
Vendor resources
Support
Vendor support
Visit us online: https://lynxroute.com
For Langflow upstream issues (bugs, features, integrations): https://github.com/langflow-ai/langflow/issues
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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