1
Mastra
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AI Tool
langflow Review
Low-code AI builder for agentic and RAG applications, enabling visual development and deployment of AI workflows.
1Langflow is an open-source, Python-based low-code platform with over 49,000 GitHub stars.
2It supports hundreds of data sources, models, and vector stores, including OpenAI, Anthropic, and Pinecone.
3In February 2025, IBM announced plans to acquire DataStax, Langflow's parent company.
4Langflow 1.9 (March 2026) introduced the Langflow Assistant and a Flow DevOps Toolkit.
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langflow at a Glance
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overview
What is langflow?
langflow is a low-code AI development platform developed by DataStax that enables developers, beginners, advanced users, and non-engineers to visually build, prototype, and deploy AI workflows, agents, and applications. It simplifies the orchestration of large language models (LLMs), APIs, vector databases, and custom components through a drag-and-drop visual interface. The platform provides a visual editor where users connect various components (nodes) to create "flows" that represent an AI application's logic, without requiring extensive coding knowledge. Key developments include IBM's announced acquisition of DataStax, Langflow's parent company, in February 2025, and the release of Langflow 1.9 in March 2026, which introduced AI-assisted component generation and a Flow DevOps Toolkit. However, a critical code injection vulnerability (CVE-2026-33017) with a CVSS score of 9.8 was exploited in the wild in March 2026, allowing attackers to extract sensitive data.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | DataStax (Open-source project) |
| Business Model | Freemium (Open-source core with cloud offerings) |
| Pricing | Freemium: Free tier available; enterprise cloud options |
| Platforms | Web, API, Desktop (Langflow 1.8 Desktop) |
| API Available | Yes |
| Integrations | Hundreds, including OpenAI, Anthropic, Google Cloud, HuggingFace, Pinecone, Weaviate, MongoDB, Slack, GitHub, Azure, AWS Bedrock, Mistral, Ollama, Langchain, Zapier (5000+) |
features
Key Features of langflow
Langflow provides a comprehensive set of features designed for visual AI application development and deployment. Its architecture supports the integration and orchestration of various AI components, enabling rapid prototyping and iteration. The platform's Python-native foundation offers extensibility and control for advanced users.
- 1Visual building and deployment of AI workflows via a drag-and-drop interface.
- 2Orchestration of Large Language Models (LLMs), APIs, vector databases, and custom components.
- 3Support for major LLMs (e.g., OpenAI, Anthropic, Google Cloud, Mistral), vector databases (e.g., Pinecone, Weaviate), and AI tools.
- 4Reusable components and pre-built flows for rapid iteration and development.
- 5Python customization for extending functionality and achieving limitless control.
- 6Deployment of AI agents (single or fleet) and flows as APIs.
- 7Cloud deployment options, including free and enterprise-grade tiers.
- 8Langflow Assistant for AI-assisted component generation (introduced in Langflow 1.9).
- 9Flow DevOps Toolkit for managing flows outside the visual builder (introduced in Langflow 1.9).
- 10Global model provider setup to reduce credential sprawl (introduced in Langflow 1.8).
use cases
Who Should Use langflow?
Langflow targets a broad audience, from experienced developers to non-technical users, by simplifying the creation and deployment of AI-powered applications. Its visual interface and low-code approach make it accessible for rapid experimentation and production-ready systems.
- 1**Developers:** For rapid prototyping of AI applications, building AI agents, and integrating complex AI components with Python customization.
- 2**Beginners and Advanced Users:** To visually develop and deploy AI workflows, agents, and Retrieval-Augmented Generation (RAG) pipelines without extensive coding.
- 3**Non-engineers (Product Managers, Ops Leads, BPO Supervisors, Analysts):** For creating chatbots, automating workflows, and developing AI solutions for specific business needs.
- 4**Teams Building Conversational AI:** To develop chatbots and virtual assistants for customer service, e-commerce, or general assistance.
- 5**Organizations Requiring Document Intelligence:** For building RAG applications to chat with documents (PDFs, DOCX, TXT, websites) and automate document analysis and data extraction.
pricing
langflow Pricing & Plans
Langflow operates on a freemium model, offering a free tier for getting started and deploying applications, alongside enterprise-grade cloud options. Specific pricing details for enterprise tiers are typically provided upon request, focusing on tailored solutions for larger organizations.
- 1Freemium: Free tier available, includes a free cloud account and the ability to deploy applications.
competitors
langflow vs Competitors
Langflow is positioned as a visual-first, open-source, low-code platform primarily for AI agent development and Retrieval Augmented Generation (RAG) applications. It emphasizes ease of use and rapid prototyping through its drag-and-drop interface, differentiating itself within a competitive landscape of AI workflow builders and automation tools.
1
FlowiseAI↗
FlowiseAI is an open-source visual builder specifically for LLM workflows, offering a similar interface to Langflow with an emphasis on observability and quick iteration.
Like Langflow, FlowiseAI provides a visual drag-and-drop interface for building AI agents and pipelines. It is also open-source and focuses on rapid prototyping, making it a direct competitor for developers and teams looking for visual LLM workflow creation.
2
Dify↗
Dify is an all-in-one platform that integrates agentic workflows, RAG pipelines, integrations, and observability for developing, deploying, and managing AI applications.
Dify offers a visual drag-and-drop interface for creating AI apps and workflows, similar to Langflow's approach to building AI-powered agents. It distinguishes itself by providing a more comprehensive, all-in-one solution that includes RAG and MLOps aspects.
3
n8n↗
n8n is an open-source, low-code automation tool that allows users to build complex workflows with a drag-and-drop interface, including dedicated AI agent nodes and extensive integrations.
While Langflow focuses primarily on AI agent and workflow building, n8n provides a broader workflow automation platform with strong AI capabilities. Both offer visual builders and support self-hosting, but n8n has a wider array of integrations for general automation tasks beyond just AI.
4
MindStudio↗
MindStudio is specifically designed for the creation, deployment, and management of AI-native agents, offering a powerful and intuitive visual builder with no coding required but extensible with code.
MindStudio directly competes with Langflow in building AI agents and workflows using a visual interface. It emphasizes ease of use and rapid agent creation, positioning itself as a faster and more instrumented alternative for AI-powered workflows compared to general automation tools.
5
BuildShip↗
BuildShip is a no-code platform that enables users to visually build AI workflows and APIs, offering AI-generated flow logic and nodes, along with self-hosting options and full code access.
Similar to Langflow, BuildShip provides a visual drag-and-drop interface for creating AI workflows. It stands out with its AI-assisted flow generation and strong emphasis on enterprise-grade scalability, security, and flexible deployment options, including self-hosting.
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Frequently Asked Questions
+What is langflow?
langflow is a low-code AI development platform developed by DataStax that enables developers, beginners, advanced users, and non-engineers to visually build, prototype, and deploy AI workflows, agents, and applications. It simplifies the orchestration of large language models (LLMs), APIs, vector databases, and custom components through a drag-and-drop visual interface.
+Is langflow free?
Langflow operates on a freemium model. A free tier is available, which includes a free cloud account and the ability to deploy applications. Enterprise-grade cloud options are also offered, with specific pricing details typically provided upon request.
+What are the main features of langflow?
Key features of Langflow include its drag-and-drop visual interface for building AI workflows, orchestration of LLMs, APIs, and vector databases, support for major AI models and tools, reusable components, Python customization, and the ability to deploy agents and flows as APIs. Recent additions include the Langflow Assistant for AI-assisted component generation and a Flow DevOps Toolkit.
+Who should use langflow?
Langflow is designed for a diverse user base, including developers for rapid prototyping of AI applications, beginners and advanced users for visually building AI workflows and RAG pipelines, and non-engineers such as product managers and analysts for creating chatbots and automating tasks. It is particularly useful for teams building conversational AI and document intelligence solutions.
+How does langflow compare to alternatives?
Langflow distinguishes itself as a visual-first, open-source, low-code platform focused on AI agent and RAG application development. Compared to FlowiseAI, it offers a broader focus on agentic AI. Against Dify, Langflow provides a visual builder while Dify is a more comprehensive all-in-one platform. Unlike n8n, which is a general automation tool, Langflow specializes in AI workflows. It competes with MindStudio and BuildShip in offering visual, low-code AI agent and workflow creation, with BuildShip notably featuring AI-generated flow logic.