Langflow
by DataStax
Visual low-code platform for building AI agents and RAG applications with drag-and-drop components Langflow is a visual, low-code platform for building AI agents, retrieval-augmented generation (RAG) pipelines, and multi-step AI workflows using a drag-and-drop interface. Originally created as an open-source project in 2023, Langflow was acquired by DataStax in 2024 and integrated with the Astra DB vector database platform.
Performance Scores
1 ranking evaluated
Score range: 8.2 – 8.2
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#2Best LLM App Platforms for Building AI Agents in 2026
Score: 8.2 · Best for: Engineering teams that want a visual builder over LangChain with the option to self-host for compliance.
Key Facts
pricing
| Attribute | Value | As of | Source |
|---|---|---|---|
| License | Open-source MIT license; free to self-host | Apr 2026 | GitHub |
General
| Attribute | Value | As of | Source |
|---|---|---|---|
| Origin | 2023 (open-source project) | Mar 2026 | Langflow |
| Acquired By | DataStax (2024) | Mar 2026 | DataStax |
| GitHub Stars | 20,000+ | Mar 2026 | GitHub |
| Interface | Visual drag-and-drop node editor | Mar 2026 | Langflow |
| RAG Support | Native RAG pipeline components | Mar 2026 | Langflow |
| Cloud Pricing | Free tier + paid from ~$25/month* | Mar 2026 | Langflow |
| Self-Hosting | Open-source, pip/Docker install | Mar 2026 | Langflow |
capability
| Attribute | Value | As of | Source |
|---|---|---|---|
| Platform Type | Visual GUI for building LangChain pipelines and AI agents (Python) | Apr 2026 | Langflow Website |
| Cloud Option | DataStax Astra-hosted Langflow available as a managed cloud option | Apr 2026 | DataStax |
company
| Attribute | Value | As of | Source |
|---|---|---|---|
| Sponsor | Sponsored and primarily maintained by DataStax (acquired Langflow in 2024) | Apr 2026 | DataStax Blog |
* Estimated values are based on publicly available information and may not be exact.
Strengths
- ●Open-source under MIT, runs locally with no vendor lock-in
- ●Visual canvas maps cleanly to LangChain primitives developers already know
- ●Active community with frequent component updates
- ●Self-hosted option meets strict data-residency requirements
Limitations
- ●Self-hosted operators handle their own audit logs, RBAC, and security posture
- ●Tied to LangChain abstractions, which evolve quickly and can break flows
- ●Managed cloud is newer than the open-source project — feature parity still settling
Based on evaluations in 1 ranking: Best LLM App Platforms for Building AI Agents in 2026
About Langflow
Langflow is a visual, low-code platform for building AI agents, retrieval-augmented generation (RAG) pipelines, and multi-step AI workflows using a drag-and-drop interface. Originally created as an open-source project in 2023, Langflow was acquired by DataStax in 2024 and integrated with the Astra DB vector database platform.
The platform provides a node-based visual editor where users connect components representing LLMs, vector stores, document loaders, text splitters, embedding models, and custom Python code. Each component has configurable inputs and outputs, allowing users to build complex AI pipelines without writing infrastructure code. As of early 2026, Langflow supports connections to OpenAI, Anthropic Claude, Google Gemini, Cohere, HuggingFace models, and local LLMs via Ollama.
Langflow can be self-hosted (open-source, available on GitHub with 20,000+ stars) or used through the DataStax-hosted cloud version. The cloud version includes a free tier with limited executions, a paid tier starting at approximately $25 per month with higher limits, and enterprise pricing for teams needing dedicated infrastructure and support. The platform targets developers and technical teams building AI-powered applications who want a visual development environment rather than pure code.
Integrations (6)
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AI Agent PlatformsSee How It Ranks
Best AI Agent Builders for Non-Developers in 2026
A ranked list of the best AI agent builders for non-developers in 2026. This ranking evaluates platforms that let operations, marketing, and customer-success teams construct multi-step AI agents without writing production code. The shortlist includes Lindy, Gumloop, Relay.app, Relevance AI, and Dust. Tools were evaluated on visual agent design, model and tool integration, observability and debugging, pricing accessibility, and documentation depth. Stack AI and Magic Loops were considered but excluded where the platform was not present in the database at evaluation time.
Best LLM App Platforms for Building AI Agents in 2026
A ranked list of platforms for building LLM-powered applications and AI agents in 2026. This ranking covers tools that combine prompt engineering, model orchestration, retrieval-augmented generation, tool calling, and deployment into a single workflow for product and engineering teams. Entries span low-code agent builders (Gumloop, Lindy, Relevance AI), code-first orchestration (CrewAI), open-source visual builders (Langflow), enterprise prompt engineering platforms (Vellum), and team-oriented agent suites (Dust). Scoring reflects developer experience, model and integration breadth, pricing, governance posture, and runtime reliability.
Questions About Langflow
Can you build AI agents in n8n?
Yes. As of May 2026, n8n ships an AI Agent node that wraps LangChain tools, memory, and vector stores, allowing visual or code-based construction of ReAct-style agents with branching, retries, and human-in-the-loop steps. The free Community Edition supports the AI Agent node with no usage cap when self-hosted.
What is the best LLM app platform in 2026?
As of April 2026, the leading LLM app platforms are LangChain (most-used Python and JS framework), Vellum (production prompt and eval platform), Langflow (open-source visual builder), Dust (workspace assistants), and LlamaIndex (data-framework for RAG). Choice depends on visual versus code preference and whether teams need eval, RAG, or workspace assistants.
How does Vellum compare to Langflow in 2026?
As of April 2026, Vellum is a developer platform for production LLM apps focused on prompt management, evaluation, and deployment, while Langflow is an open-source visual builder for LangChain flows. Vellum wins on eval, observability, and prompt versioning; Langflow wins on visual prototyping and zero-cost self-hosting.
What are the best Vellum alternatives in 2026?
As of April 2026, the leading Vellum alternatives are Langflow (open-source visual LangChain builder), LangSmith (LangChain observability and eval), Dust (workspace-grade AI assistants), Relevance AI (low-code AI agents), and Humanloop (prompt management and evaluation). Selection depends on whether teams need prompt eval, agent orchestration, or production deployment.
Learn More
Building AI Agents with n8n in 2026: Tools, RAG, and Deployment
n8n is a fair-code workflow engine that ships a native AI Agent node wrapping LangChain tools, memory, and vector stores. This tutorial covers agent design patterns, retrieval-augmented generation with Pinecone or pgvector, deployment options (Cloud vs self-hosted), and operational guardrails as of May 2026.
Vellum vs Langflow 2026: LLM App Builders Compared
Vellum and Langflow are two LLM application builders that sit on opposite sides of the commercial-vs-open-source line. Vellum is a commercial SaaS for prompt engineering, evals, and production agents. Langflow is an MIT-licensed visual canvas for LangChain workflows, backed by DataStax/IBM. This comparison covers pricing, target users, and feature depth as of April 2026.
CrewAI vs Langflow 2026: Code-First vs Visual AI Agent Frameworks
CrewAI and Langflow are open-source AI agent frameworks with different audiences. CrewAI (founded 2023) is a Python framework for code-first multi-agent orchestration. Langflow (DataStax, 2023) is a visual node-based builder for LangChain applications. This 2026 comparison covers programming models, tool ecosystems, deployment, and pricing.