Discover / Automation

Langflow

by langflow-aiPython

Visual framework for building multi agent and RAG applications with drag and drop workflows.

Toolstable

Maturity: stable because 3y old, v1.11.1 released 6d ago. Derived from release and commit history, not a rating.

Stars
153k
Forks
9.8k
Downloads / mo
86k
Last commit
2026-08-03
License
MIT
Open issues
987

Market and trust evidence

Edition not yet matched

No exact skills.sh identity match is available for this repository. Repository adoption and freshness remain visible above; install momentum is not inferred.

Trust analysis is a screening signal, not a security warranty. Read the ranking and trust methodology.

In practice

Written by AI from this repository’s README · high confidence

Turning a prototype agent into something callable by an application usually means writing the serving layer yourself.

Use it when

Use it when you want to build a flow visually and then call it as an API, export it as JSON or serve it to MCP clients.

Not the right pick when

It is a full platform you run rather than a library, so a small scripted pipeline does not need it.

Capabilities

  • visual builder interface for flows
  • source code access to customize components in Python
  • interactive playground with step by step control
  • multi agent orchestration with conversation management
  • deploy as an API or as an MCP server
  • Docker image and desktop application

Requirements

  • Python 3.10 to 3.14
  • uv package manager recommended

Cost: Free and open source

Install

Derived from the published package name in the repository, not from a model.

Video walkthroughs

Third-party YouTube uploads matched to this tool by title, channel and repository name on 2026-08-03. Not made, reviewed or endorsed by SkillPilot. View counts and publish months are as of the match date and the month is approximate. Nothing loads from YouTube until you press play.

What the repository ships

Ships CLAUDE.mdCursor rulesHas docsSecurity policyCI configured

Detected from the actual files in the repository root.

Latest release v1.11.1

Published 2026-07-28

<!-- Release notes generated using configuration in .github/release.yml at v1.11.1 -->

What's Changed

🐛 Bug Fixes

  • fix: increment previous_content with content streamed by @lucaseduoli in https://github.com/langflow-ai/langflow/pull/14234
  • fix: add default fallback to instantiation.py and removed default ollama base url from components by @lucaseduoli in https://github.com/langflow-ai/langflow/pull/14236
  • fix(tracing): detach orphan spans before database flush by @erichare in https://github.com/langflow-ai/langflow/pull/14243
  • fix(settings): enable agentic experience by default by @Cristhianzl in https://github.com/langflow-ai/langflow/pull/14244
  • fix(auth): keep refresh sessions alive on HTTP by @erichare in https://github.com/langflow-ai/langflow/pull/14252
  • fix(mem0): defer client import during startup by @Success6666 in https://github.com/langflow-ai/langflow/pull/14247
  • fix(components): stop legacy aliases from importing every bundle at startup by @erichare in https://github.com/langflow-ai/langflow/pull/14259
  • fix(frontend): reset modifier-only saved shortcuts to default by @Cristhianzl in https://github.com/langflow-ai/langflow/pull/14245
  • fix(ssrf): honor connector loopback policy for A2A agent and PaddleOCR base URLs by @erichare in https://github.com/langflow-ai/langflow/pull/14265
  • fix(components): send chained input as user turn by @Cristhianzl in https://github.com/langflow-ai/langflow/pull/14286
  • fix(cuga): correct event debug log typo by @erichare in https://github.com/langflow-ai/langflow/pull/14275
  • fix(mcp): match display_name and description in search_registry query filter by @Simonzhaohui in https://github.com/langflow-ai/langflow/pull/14270
  • fix(mcp): backport MCP SDK <2.0 pin for uvx-launched servers by @viktoravelino in https://github.com/langflow-ai/langflow/pull/14298
  • fix(deps): restore FastAPI range by @erichare in https://github.com/langflow-ai/langflow/pull/14301

📝 Documentation Updates

  • docs: fastapi pagination error troubleshooting by @mendonk in https://github.com/langflow-ai/langflow/pull/14294

🛠 Maintenance Tasks

  • refactor(frontend): Add customization hook for API timestamp parsing by @Cristhianzl in https://github.com/langflow-ai/langflow/pull/14246

Others

  • chore: update deps 1.11.1 by @Adam-Aghili in https://github.com/langflow-ai/langflow/pull/14280

New Contributors

  • @Success6666 made their first contribution in https://github.com/langflow-ai/langflow/pull/14247
  • @Simonzhaohui made their first contribution in https://github.com/langflow-ai/langflow/pull/14270

Full Changelog: https://github.com/langflow-ai/langflow/compare/v1.11.0...v1.11.1

Tags

README

<!-- markdownlint-disable MD030 -->

<picture>

<source media="(prefers-color-scheme: dark)" srcset="./docs/static/img/langflow-logo-color-blue-bg.svg">

<img src="./docs/static/img/langflow-logo-color-black-solid.svg" alt="Langflow logo">

</picture>

Release Notes

PyPI - License

PyPI - Downloads

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YouTube Channel

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Ask DeepWiki

Langflow 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

⚡️ Quickstart

Install locally (recommended)

Requires Python 3.10–3.14 and uv (recommended package manager).

Install

From a fresh directory, run:


uv pip install langflow -U

The latest Langflow package is installed.

For more information, see Install and run the Langflow OSS Python package.

Run

To start Langflow, run:


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:


make run_cli

For more information, see DEVELOPMENT.md.

Docker

Start a Langflow container with default settings:


docker run -p 7860:7860 langflowai/langflow:latest

Langflow is available at http://localhost:7860/.

For configuration options, see the Docker deployment guide.

🛡️ Security

For security information, see our Security Policy.

🚀 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.

⭐ Stay up-to-date

Star Langflow on GitHub to be instantly notified of new releases.

Star Langflow

👋 Contribute

We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.


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❤️ Contributors

langflow contributors

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