Langflow
Langflow is an open-source low-code platform that lets developers visually build and deploy AI agents and RAG applications, supporting all major LLMs, vector databases, and the Model Context Protocol, with paid Professional Services and Premier Support as monetization layers atop a free OSS and Cloud base.
- Company typePrivate
- Founded2020
- HeadquartersUberlândia, Brazil
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Langflow does
Langflow is a privately held, open-source software company founded in 2020 in Uberlândia, Brazil, that provides a low-code visual platform for building, deploying, and orchestrating AI agents and retrieval-augmented generation (RAG) applications. The core product is a Python-based application that offers a drag-and-drop canvas where developers compose AI workflows from pre-built components for LLMs, vector databases, data sources, and tools, with a Python customization layer for advanced control. The platform supports every major LLM family (OpenAI, Anthropic, Google, Meta, Mistral, IBM watsonx, NVIDIA, Ollama, Amazon Bedrock), integrates with 100+ third-party tools, and is the only major visual builder with native Model Context Protocol (MCP) server support, enabling IDEs and coding agents (IBM Bob, Claude Code) to consume Langflow flows programmatically. Recent versions added the Langflow Assistant (natural-language flow generation), Memory Bases (cross-session semantic memory), the Policies component with ToolGuard (runtime policy enforcement), the Flow DevOps Toolkit SDK, and an Extension Bundles packaging model. Langflow also ships as a Desktop application for Mac and Windows and as a free Cloud account.
Langflow firmographics
Firmographics- Name
- Langflow
- Legal name
- Langflow
- Website
- https://langflow.org
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Langflow is an open-source low-code platform that lets developers visually build and deploy AI agents and RAG applications, supporting all major LLMs, vector databases, and the Model Context Protocol, with paid Professional Services and Premier Support as monetization layers atop a free OSS and Cloud base.
- Ownership category
- akta.pro rank
Langflow industry classification
Industry- Product category
- AI Development Platform
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
- akta.pro secondary industries
- Low-Code/No-Code Application Platforms (HDAEAKAA), Prompt Engineering, Orchestration & LLMOps Tooling (HDAAACAD), Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG)
Keywords
Where Langflow is headquartered
LocationHeadquarters
- HQ city
- Uberlândia
- HQ country
- Brazil
- HQ region
- Latin America
Markets served
Langflow business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Open-Source Platform (OSS): Langflow's core platform is open-source and free to use. The company disclosed $1.5M ARR and $4.6M valuation in 2025, having grown independently without outside funding.
- Professional Services: Langflow offers professional services for enterprise customers needing implementation support, custom development, and training.
- Premier Support: Premium support tier providing dedicated assistance, faster response times, and priority issue resolution for enterprise users.
- Enterprise Cloud Deployment: Enterprise-grade cloud deployment options with additional security, scalability, and management features beyond the free cloud tier.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Free tier - OSS and Cloud |
| Other | Others | Professional Services |
| Subscription | Others | Premier Support |
Go-to-market motion2 records
Distribution channels5 records
Marketing channels10 records
Langflow product offering
Product offeringCore offering
Langflow is an open-source low-code AI application platform that provides a visual drag-and-drop canvas for building, prototyping, and deploying AI agents and Retrieval-Augmented Generation (RAG) applications. The platform supports all major LLMs (OpenAI, Anthropic, Google, Meta, Mistral, IBM watsonx), vector databases, and a library of pre-built components, with a Python customization layer for extensibility. It ships as an OSS Python package, a Desktop application for Mac and Windows, and a free cloud account, with paid professional services, premier support, and enterprise cloud deployment options.
Product overview
Langflow is an open-source low-code AI application platform providing a visual drag-and-drop environment for building and deploying AI agents and RAG applications. The product portfolio centers on the core Langflow platform (available as OSS, Cloud, and Desktop), augmented by the Langflow Assistant for AI-assisted development, Flow DevOps Toolkit SDK for CI/CD workflows, MCP Server Management for IDE integration, and Memory Bases for persistent context. The platform integrates with all major LLMs and vector databases. Extension bundles (lfx-arxiv, lfx-docling, lfx-duckduckgo, lfx-ibm, Code Agents, File Processing) provide specialized capabilities. Notable features include the Policies component for policy-based guardrails, DB Providers for configurable vector backends, and comprehensive API and WebSocket support for enterprise integration. The platform supports Python 3.10-3.14 and is positioned as a foundational tool for agentic AI development, with IBM's OpenRAG stack incorporating Langflow for enterprise RAG deployments.
Differentiator
Problem solved
Functional benefit
Brands
- The Flow Podcast: Podcast focused on what developers need to know to build the next generation of software using AI, agents and MCP.
Products and services
- Langflow (Open-Source Platform) Open-source low-code AI application platform for building, deploying, and orchestrating AI agents and RAG applications through a visual drag-and-drop interface with Python extensibility. Supports all major LLMs, vector databases, and MCP server creation, and is freely available as a Python package.
- Langflow Desktop Desktop application for Mac and Windows providing an offline-capable local development environment for building and testing AI workflows before cloud deployment. Free download.
- Langflow Cloud Free and enterprise-grade cloud deployment option for Langflow, providing hosted infrastructure to deploy AI applications without self-hosting, with enterprise tiers offering additional security, scalability, and management features.
- Professional Services Custom consulting, implementation, and training services for enterprise customers needing hands-on support with Langflow deployment and development. Quote-based engagement, pricing not publicly disclosed.
- Premier Support Premium support subscription tier providing dedicated assistance, faster response times, and priority issue resolution for enterprise users. Pricing not publicly disclosed.
Quantifiable outcome
- 89% memory reduction in multi-worker deployments (v1.8 to v1.10)
- +2 more outcomes
Companies that use Langflow
Customer profileNamed customers3 records
Segments3 records
Ideal customer profiles3 records
Langflow technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration50 records
AI capability11 records
Feature9 records
Langflow partnerships and signals
Strategic signalPartnerships
29 partnerships are on record, tiered core.
- IBMcoreLangflow integrates with IBM ecosystem through IBM Db2 components (vector store) and watsonx.ai LLM and embeddings. IBM's Phil Nash released OpenRAG, an open-source stack combining Langflow with Docling and OpenSearch. Langflow's official website features IBM Db2 download and enterprise connectivity.
- OpenAIcoreNative integration with OpenAI models (GPT-4, GPT-3.5, etc.) for language model components, API key authentication, and OpenAI Realtime API for voice mode functionality.
- AnthropiccoreIntegration with Anthropic Claude models for language model components. Langflow supports Claude tool calling and MCP protocol implementations that interact with Anthropic's ecosystem.
- Azure OpenAI ServicecoreNative integration with Microsoft Azure OpenAI Service for enterprise deployments requiring Azure cloud infrastructure.
- Hugging FacecoreIntegration with Hugging Face for accessing open-source models and embeddings in Langflow workflows.
- ChromacoreDefault vector database provider for Knowledge Bases with Chroma Cloud support added in v1.10 alongside OpenSearch.
- Google Cloud (Gemini)coreIntegration with Google Gemini models and Google Cloud services including Vertex AI, Google Drive for document ingestion, and GCS storage.
- PineconecoreEnterprise vector database integration for scalable semantic search and RAG pipelines.
- ConfluencecoreIntegration for ingesting content from Atlassian Confluence workspaces into AI workflows and knowledge bases.
- SlackcoreIntegration with Slack for sending messages and notifications from AI workflows.
- NotioncoreIntegration for accessing and ingesting Notion workspace content into AI workflows.
- SupabasecoreIntegration with Supabase for PostgreSQL database connectivity and backend services.
- AirbytecoreIntegration for data synchronization and ETL pipelines into AI workflows.
- ComposiocoreIntegration with Composio for extended AI tool capabilities and agent actions.
- MongoDBcoreIntegration with MongoDB document database for storing and retrieving unstructured data.
- WeaviatecoreVector database integration for semantic search and RAG applications.
- QdrantcoreVector database integration for production-scale semantic search.
- OllamacoreIntegration for running open-source LLMs locally through Ollama.
- NVIDIAcoreIntegration for NVIDIA GPU acceleration and enterprise AI deployment capabilities.
- Mistral AIcoreIntegration with Mistral AI models for language model components.
- GroqcoreIntegration for Groq's fast inference API for language model inference.
- PerplexitycoreIntegration for Perplexity AI search capabilities in workflows.
- Meta (Llama)coreIntegration with Meta's Llama models for open-source language model support.
- RediscoreRedis integration for caching and session management, plus Redis-backed job queue for multi-worker deployments.
- Datastax (Astra DB)coreIntegration with Datastax Astra DB for Apache Cassandra-based vector search.
- UnstructuredcoreIntegration for document parsing and preprocessing of unstructured data.
- VectaracoreIntegration for Vectara's neural search platform and hosted vector search.
- OpenSearchcoreVector database backend option for Knowledge Bases added in v1.10 alongside Chroma.
- LangChaincoreBuilt on LangChain framework with support for LangChain 1.0. Legacy agents moved to langchain-classic package.
Scale indicators13 records
Recent moves6 records
Expansion highlights6 records
Langflow competitors and assessment
Company assessmentDirect peers
- Flowise AI: Open-source drag-and-drop UI to build LangChain-based LLM applications and agents. Closest direct competitor to Langflow with overlapping visual canvas, agent/RAG focus, OSS distribution, and model-agnostic positioning.
- n8n: Workflow automation platform with native AI agent nodes and visual node-based canvas. Competes with Langflow for the same developer persona building AI-driven automations and agents, with a stronger incumbent installed base.
- LlamaIndex: Data framework for connecting LLMs to enterprise data, with strong RAG capabilities and an emerging agent platform (LlamaAgents). Competes directly with Langflow in the RAG and agent-building space, with deeper programmatic tooling but less visual UX.
Broad incumbents
- LangChain: Foundational LLM orchestration framework on which Langflow is built. Provides LangGraph and LangSmith for agent orchestration and observability; competes with Langflow by offering deeper programmatic agent control and broader enterprise tooling.
- Microsoft Copilot Studio: Microsoft's low-code visual platform for building agents and copilots integrated with the Microsoft 365, Azure, and Power Platform ecosystems. Represents the enterprise incumbent threat to Langflow via bundled distribution.
- Google Vertex AI Agent Builder: Google Cloud's visual environment for building and deploying production agents using Gemini and Vertex AI. Competes with Langflow for enterprise agent workloads, with the advantage of deep integration into Google Cloud and Gemini.
Emerging players
- Vellum: Enterprise AI development platform with visual workflow building, prompt engineering, evaluation, and observability. Overlaps with Langflow's enterprise cloud and premier support positioning, with a stronger evaluation/governance story.
- Stack AI: No-code platform for building and deploying AI agents and assistants with a visual canvas and enterprise integrations. Competes with Langflow for non-technical and enterprise builder personas.
- VectorShift: No-code AI workflow builder for agents, RAG, and automations with a visual canvas similar to Langflow. Targets business and enterprise teams building AI applications without deep engineering.
- Haystack (deepset): Open-source framework for building production LLM applications with RAG and agent pipelines. Competes with Langflow's programmatic counterpart — deeper enterprise controls but less visual building experience.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks6 records
Key highlights6 records
Customer concentration
Langflow social profiles
Digital presenceLangflow financial estimates
Financial estimateRevenue estimate
Valuation estimate
Langflow leadership team
Management profileNumber of profiles
Langflow funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Langflow M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Langflow
What does Langflow do?
Langflow is an open-source low-code AI application platform that provides a visual drag-and-drop canvas for building, prototyping, and deploying AI agents and Retrieval-Augmented Generation (RAG) applications. The platform supports all major LLMs (OpenAI, Anthropic, Google, Meta, Mistral, IBM watsonx), vector databases, and a library of pre-built components, with a Python customization layer for extensibility. It ships as an OSS Python package, a Desktop application for Mac and Windows, and a free cloud account, with paid professional services, premier support, and enterprise cloud deployment options.
Is Langflow a public or private company?
Langflow is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Langflow founded?
Langflow was founded in 2020. It employs 1 to 10 people.
Where is Langflow based?
Langflow is headquartered in Uberlândia, Brazil, in the Latin America region.
How does Langflow make money?
Four revenue lines are on record. Open-Source Platform (OSS) is the primary driver. The others are professional Services, premier Support and enterprise Cloud Deployment.
Who are Langflow's main competitors?
Direct peers on record are Flowise AI, n8n and LlamaIndex. Broad incumbents are LangChain, Microsoft Copilot Studio and Google Vertex AI Agent Builder. Emerging players are Vellum, Stack AI, VectorShift and Haystack (deepset).
Does Langflow have an API?
Yes. Langflow provides a REST API for triggering flows, managing projects, and monitoring messages. Key endpoints include POST /api/v1/run/$FLOW_ID for triggering flows with session_id support, GET /api/v1/projects/download/$PROJECT_ID for project exports, GET /v1/monitor/messages for message monitoring, and WebSocket endpoints /ws/flow_tts/$FLOW_ID for speech-to-text voice mode and /v1/voice/ws/flow_as_tool/$FLOW_ID for voice-to-voice interactions. Authentication uses API keys via x-api-key header. The API supports OpenAI Realtime API-compatible WebSocket endpoints. Rate limiting is applied to the /login endpoint to protect against brute-force attacks. Developer documentation is at docs.langflow.org/api-reference-api-examples.
What industry is Langflow in?
Langflow's product category is AI Development Platform. Its primary akta.pro industry code is HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG), with a secondary code of HDAEAKAA, Low-Code/No-Code Application Platforms. Its NAICS code is 5132 and its SIC code is 7372.