Discover / Automation
Langflow
by langflow-aiPython
Visual framework for building multi agent and RAG applications with drag and drop workflows.
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 matchedNo 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 confidenceTurning 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
What is Langflow? Build AI Workflows with Python, Gen AI, & MCP Tools
Building an AI Agent without writing any code (using Langflow)
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
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>
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.
⚡️ 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.
👋 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.