Overview
Langflow is a powerful open-source visual development platform designed for building AI-powered applications and workflows without extensive coding. Built on the LangChain ecosystem, it provides a drag-and-drop interface that enables developers, data teams, and businesses to create sophisticated AI pipelines using large language models (LLMs), vector databases, APIs, agents, and custom components.
With Langflow, users can visually design, test, debug, and deploy AI workflows while monitoring the flow of data between components. The platform supports integration with popular AI providers such as OpenAI, Anthropic, Google Gemini, and various open-source models. It also offers seamless connectivity with vector databases, document loaders, memory systems, and external services.
Whether you are building chatbots, AI assistants, retrieval-augmented generation (RAG) applications, document processing systems, or automated workflows, Langflow simplifies development and accelerates deployment. Its visual interface reduces complexity while maintaining the flexibility required for advanced AI applications, making it suitable for both beginners and experienced developers.
Highlights
- Visual drag-and-drop builder for creating and testing AI workflows without extensive coding.
- Native integration with LangChain, LLM providers, vector databases, APIs, and RAG pipelines.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t2.micro | $0.01 |
t3.micro | $0.03 |
m3.large | $0.03 |
t2.xlarge | $0.03 |
r5.large | $0.03 |
t2.small | $0.03 |
m5.large | $0.03 |
t3.small | $0.03 |
c4.large | $0.03 |
Vendor refund policy
No Refund
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Legal
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Content disclaimer
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
Packaged with latest updates as of June/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #cd ~/langflow #source .venv/bin/activate #pip show langflow
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
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.