Sold by: Lynxroute
Deployed on AWS
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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. 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.
Note: Langflow initialises in ~60 seconds after instance start. Wait 1-2 minutes before opening the Web UI.
MIT license - fully auditable, no vendor lock-in.
Overview
This is a repackaged software product wherein additional charges apply for hardening, security configuration, and support.
WHAT IS LANGFLOW
Langflow is a visual drag-and-drop builder for LLM-powered applications - a Python (FastAPI) and TypeScript (React) stack that lets developers compose chains, agents, and retrieval-augmented generation (RAG) pipelines from pre-built components on a canvas, then deploy them as REST endpoints. It integrates with 100+ LLM providers and vector stores (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Ollama, Qdrant, Chroma, Pinecone) through the underlying LangChain abstractions, plus tool nodes for web search, SQL and file I/O. Persists flows, conversations and configuration in PostgreSQL. MIT license - lock-in-free alternative to LangSmith and other proprietary visual AI builders, with full Python source for every component.
WHAT THIS AMI ADDS
Security hardening:
- Authentication enabled - LANGFLOW_AUTO_LOGIN=False
- Admin password equals EC2 Instance ID
- Nginx reverse proxy with TLS - Langflow bound to localhost only
- UFW firewall - ports 22, 80, 443 only
- fail2ban, AppArmor
OS hardening (CIS Level 1):
- CIS Ubuntu 24.04 LTS Level 1 benchmark applied via ansible-lockdown
- auditd, SSH hardening, Kernel hardening, IMDSv2 enforced
Compliance artifacts:
- SBOM - CycloneDX 1.6 at /etc/lynxroute/sbom.json
- CIS Conformance Report at /etc/lynxroute/cis-report.html
- CIS Tailored Profile at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
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. CVE-scanned before every release. SBOM (CycloneDX) and CIS Conformance Report included.
- 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 | $0.02 |
t3.large | $0.03 |
m6i.xlarge | $0.05 |
m6i.large | $0.03 |
m6i.2xlarge | $0.07 |
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
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
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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
Updated to version 1.9.1.
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 for Langflow to initialise
- SSH: ssh -i key.pem ubuntu@<PUBLIC_IP>
- Read credentials: sudo cat /root/langflow-credentials.txt
- Open https://<PUBLIC_IP> - accept the self-signed certificate warning
- Log in with admin credentials from the credentials file
Admin password equals the EC2 Instance ID. Credentials are saved to /root/langflow-credentials.txt at first boot. Replace the self-signed TLS certificate with a CA-signed certificate for production use.
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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This product has charges associated with it for technical support with a 24-hour response time. This AMI contains Langflow on Ubuntu 22.04 LTS repackaged by Easycloud, fully configured for production environments. The system is built on a minimal installation of Ubuntu 22.04, updated to the latest version, and includes continuous updates and support to ensure a secure and lightweight foundation.
![LangChain & LangFlow AI Workflow Environment on Ubuntu24 [IN]](https://d7umqicpi7263.cloudfront.net/img/product/dd5a6eb0-1c16-4f1c-8c3e-89bf02310e75.com/827e5c068daf6149d1f52297ff226d96)
This product has charges associated with it for deployment, configuration, maintenance, and support of the LangChain & LangFlow AI workflow environment on Ubuntu 24. It provides a ready-to-use environment for building, testing, and deploying LLM-powered applications, agents, and AI pipelines.
Self-hosted Flowise alternative. Visual drag-drop AI pipeline builder. One-click deploy, security hardened, 5-day free trial.
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