langflow

Free

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

#low-code#open-source#visual builder#AI agents#RAG#MCP servers#production#drag-and-drop#workflows#reusable components#integrations#LLMs#vector databases#enterprise tooling#design#debug#deploy#agentic systems#desktop#cloud

Type

Open Source

Visit Website GitHub (147.7k stars)

About langflow

Langflow is a low-code visual builder for creating and deploying AI agents and MCP servers. It supports all major LLMs, vector databases, and a growing library of AI tools. Users can drag and drop components to build complex workflows, swap models, and deploy to an enterprise-grade cloud. It is open-source and free to use.

Key Features

Low-code visual drag-and-drop builder

Reusable components and a large library of pre-built flows

Support for major LLM providers (OpenAI, Anthropic, Google, AWS Bedrock, etc.)

Local model support via Ollama and LM Studio

Easy model/provider switching with global setup

Vector database integrations for retrieval

Agentic RAG workflows for grounded responses

MCP server support and multi-tool orchestration

Streamable HTTP for MCP

V2 workflow APIs and API-first deployment

Pros & Cons

Pros

Visual drag-and-drop builder reduces coding overhead
Supports all major LLM providers and local models with easy swapping
Large library of pre-built flows and reusable components
Open-source and free to use with optional enterprise cloud
Allows Python customization for advanced use cases

Cons

Learning curve for complex agentic workflows
Some advanced features (e.g., enterprise security) may require cloud version

Best For

Support Lead: Agentic RAG assistant that drafts accurate customer responses from product docs and tickets.AI Engineer: Coding agent that plans tasks, writes code, and tests changes across a repo.Knowledge Manager: Enterprise knowledge base search with vector DBs and guardrails for policy adherence.Ops Team: Document processing pipeline (e.g., with Docling) for ingestion, chunking, and summarization.IT Helpdesk: Internal triage agent that decomposes tasks and orchestrates tools via MCP servers.Sales Enablement: Proposal and email drafting using organization content and CRM-connected RAG flows.Data Scientist: Conversational analytics over S3 data with retrieval, transformation, and chart generation.Web PM: Website chatbot with vector retrieval and easy LLM swapping (OpenAI, Anthropic, Ollama).Researcher: Paper summarization and citation extraction with multi-document reasoning.Platform Team: Move prototypes from notebooks to production APIs using V2 workflow endpoints.

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