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Decision brief
Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
Good fit when
- Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
- If your project involves developing or managing multiagent systems alongside large language models, consider using Langflow due to its support for these advanced workflows.
Avoid when
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14.
- Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
- Pricing:
- freemium - Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.
- Requirements:
- Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No criticals
- As of 1mo
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Install
pip install langflowHow it fits your stack(188)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Langflow is a Python-based tool enabling users to create, manage, and deploy AI-powered workflows using large language models and agent systems.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 2, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 2, 2026
- Languages
- python, javascript
Source: github.language+package.json+pyproject.toml · Aug 2, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 2, 2026)
Requires Python 3.10–3.14 and [uv](https://docs.astral.sh/uv/getting-started/installation/) (recommeSource link
Tags
README
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! 🎉
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.
🚀 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.
For agents
This page has a .md twin and JSON over the API.