logspace-ai/langflow

Langflow supports building and deploying agent workflows through a visual development environment.

github.com/langflow-ai/langflow
logspace-ai/langflow homepage screenshot

About logspace-ai/langflow

Langflow is an open source platform for building and deploying AI-powered agents and workflows. It provides a visual authoring interface and built-in API and MCP servers, so a workflow can be used as a tool in applications built on different frameworks or stacks. The source states that it supports all major LLMs, vector databases, and a growing library of AI tools.

Langflow can be installed locally with uv (Python 3.10 to 3.14 is required), run from source, or started in a Docker container. A desktop version, Langflow Desktop, is available for Windows and macOS and includes its dependencies. The source describes the software as completely open source and lists security and scalability as enterprise-ready, but it does not provide details on how these claims were verified.

Key features

  • Visual builder interface for assembling and iterating on workflows
  • Source code access for customizing any component using Python
  • Interactive playground for testing and refining flows with step-by-step control
  • Multi-agent orchestration with conversation management and retrieval
  • Deployment as an API or export as JSON for Python apps
  • Deployment as an MCP server that turns flows into tools for MCP clients
Best for: Developers who want a visual way to build AI agent workflows and the option to customize components in Python.
Good for
  • Open source under the MIT license
  • Langflow Desktop includes all dependencies, so users do not need to manage Python environments manually
  • Several installation options are listed: uv, source, and Docker
Watch out for
  • Langflow Desktop is listed only for Windows and macOS
  • Local installation requires Python 3.10 to 3.14 and uv
  • The source does not state pricing information

logspace-ai/langflow at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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logspace-ai/langflow FAQ

How do I run Langflow locally?
Run uv pip install langflow -U to install the package, then run uv run langflow run. Langflow starts at http://127.0.0.1:7860. Python 3.10 to 3.14 and uv are required.
Can Langflow be run in Docker?
Yes. The source gives the command docker run -p 7860:7860 langflowai/langflow:latest, after which Langflow is available at http://localhost:7860/. A Docker deployment guide is linked for configuration options.
Is there a desktop version of Langflow?
Yes. Langflow Desktop is available for Windows and macOS and includes all dependencies, so Python environments do not need to be managed manually.
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