--- title: "langflow" type: "tool" slug: "langflow-ai-langflow" canonical_url: "https://www.graphcanon.com/tools/langflow-ai-langflow" github_url: "https://github.com/langflow-ai/langflow" homepage_url: "http://www.langflow.org" stars: 151298 forks: 9458 primary_language: "Python" license: "MIT" categories: ["evaluation-observability", "data-retrieval", "ai-agents"] tags: ["multiagent", "agents", "large-language-models", "generative-ai", "chatgpt", "react-flow"] updated_at: "2026-07-07T18:56:29.616851+00:00" --- # langflow > Langflow is a powerful platform for building and deploying AI-powered agents and workflows. A tool that offers a visual interface to create custom AI-powered services, integrating support for major language models (LLMs) and vector databases. It also provides multi-agent orchestration capabilities and observability. ## Facts - Repository: https://github.com/langflow-ai/langflow - Homepage: http://www.langflow.org - Stars: 151,298 · Forks: 9,458 · Open issues: 977 · Watchers: 480 - Primary language: Python - License: MIT - Last pushed: 2026-07-07T17:30:15+00:00 ## Categories - [Evaluation & Observability](/categories/evaluation-observability.md) - [Data & Retrieval](/categories/data-retrieval.md) - [AI Agents](/categories/ai-agents.md) ## Tags multiagent, agents, large language models, generative-ai, chatgpt, react-flow ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) - [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,117) - [langchain](/tools/langchain-ai-langchain.md) - The agent engineering platform. (★ 141,211) ## README (excerpt) ```text Langflow logo [Langflow](https://langflow.org) is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. ## ✨ Highlight features - **Visual builder interface** to quickly get started and iterate. - **Source code access** lets you customize any component using Python. - **Interactive playground** to immediately test and refine your flows with step-by-step control. - **Multi-agent orchestration** with conversation management and retrieval. - **Deploy as an API** or export as JSON for Python apps. - **Deploy as an MCP server** and turn your flows into tools for MCP clients. - **Observability** with LangSmith, LangFuse and other integrations. - **Enterprise-ready** security and scalability. ## 🖥️ Langflow Desktop Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS. [📥 Download Langflow Desktop](https://www.langflow.org/desktop) ## ⚡️ Quickstart ### Install locally (recommended) Requires Python 3.10–3.14 and [uv](https://docs.astral.sh/uv/getting-started/installation/) (recommended package manager). #### Install From a fresh directory, run: ```shell uv pip install langflow -U ``` The latest Langflow package is installed. For more information, see [Install and run the Langflow OSS Python package](https://docs.langflow.org/get-started-installation#install-and-run-the-langflow-oss-python-package). #### Run To start Langflow, run: ```shell uv run langflow run ``` Langflow starts at http://127.0.0.1:7860. That's it! You're ready to build with Langflow! 🎉 ## 📦 Other install options ### Run from source If you've cloned this repository and want to contribute, run this command from the repository root: ```shell make run_cli ``` For more information, see [DEVELOPMENT.md](./DEVELOPMENT.md). ### Docker Start a Langflow container with default settings: ```shell docker run -p 7860:7860 langflowai/langflow:latest ``` Langflow is available at http://localhost:7860/. For configuration options, see the [Docker deployment guide](https://docs.langflow.org/deployment-docker). ## 🛡️ Security For security information, see our [Security Policy](./SECURITY.md). ## 🚀 Deployment Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our [Langflow deployment guides](https://docs.langflow.org/deployment-overview). ## ⭐ Stay up-to-date Star Langflow on GitHub to be instantly notified of new releases. ## 👋 Contribute We welcome contributions from developers of all levels. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible. --- ## ❤️ Contributors ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/langflow-ai-langflow`](/api/graphcanon/tools/langflow-ai-langflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_