langflow
A Python package with a built-in web application
Decision gist · record as of 2026-08-14
Yes. Langflow is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed under MIT. It is well-suited for developers building AI workflows who want a visual authoring experience combined with programmatic control. The 20 optional lfx-* dependencies allow you to start small and add integrations as needed.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10–3.14; uv package manager is recommended for installation.
- Low friction installation via pip; actively maintained with a release 3 days old and 153252 GitHub stars.
- Requires Python 3.10–3.14 and uv is recommended but not required.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making it suitable for both open-source and proprietary projects.
last release 2026-08-11 (3 days) · last repo commit 2026-08-14 · 153,252 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 108,264 downloads/mo, #12,566 on PyPI
Alternatives
Verify before relying
pip install langflow -U
langflow run
# Langflow starts at http://127.0.0.1:7860- Whether the 20 lfx-* runtime dependencies are all optional or if some are required for core functionality.
- Performance characteristics and scalability limits for production multi-agent deployments.
- Exact feature parity between the web UI and programmatic API for workflow definition.
What it is and what it does
Langflow is a platform for building AI-powered workflows and agents through a visual interface backed by a Python application. It combines a web-based builder with programmatic access, allowing developers to design flows visually, customize components in Python, test interactively, and deploy as REST APIs or MCP servers. The package includes support for major LLMs, vector databases, and a growing library of integrations through optional lfx-* dependencies.
The platform is designed for rapid iteration and production deployment. Developers can author workflows visually, access and modify source code for any component, test flows step-by-step in an interactive playground, and orchestrate multi-agent systems with conversation management. Workflows can be exported as JSON or deployed directly as APIs or MCP servers, making them integrable into applications built on any framework.
Use it for
- Build and test LLM-powered chatbots and agents without writing boilerplate code.
- Orchestrate multi-agent systems with conversation management and retrieval components.
- Deploy AI workflows as REST APIs for integration into existing applications.
- Rapidly prototype and iterate on AI workflows using the visual builder and interactive playground.
- Export workflows as JSON or MCP servers for use in other applications or frameworks.
- Customize pre-built AI components using Python when the visual interface is insufficient.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Langflow is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed under MIT. It is well-suited for developers building AI workflows who want a visual authoring experience combined with programmatic control. The 20 optional lfx-* dependencies allow you to start small and add integrations as needed.
Install
langflow on PyPI
Before you install
Low friction installation via pip; actively maintained with a release 3 days old and 153252 GitHub stars. Requires Python 3.10–3.14 and uv is recommended but not required.
Requires Python 3.10–3.14; uv package manager is recommended for installation.
License in practice
MIT license permits commercial and private use with minimal restrictions, making it suitable for both open-source and proprietary projects.
Quickstart
pip install langflow -U
langflow run
# Langflow starts at http://127.0.0.1:7860Verify before relying
- Whether the 20 lfx-* runtime dependencies are all optional or if some are required for core functionality.
- Performance characteristics and scalability limits for production multi-agent deployments.
- Exact feature parity between the web UI and programmatic API for workflow definition.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 20 packageslangflow-baselfx-amazonlfx-anthropiclfx-arxivlfx-bundleslfx-coherelfx-datastaxlfx-doclinglfx-duckduckgolfx-empiriolabslfx-exalfx-firecrawllfx-ibmlfx-nextplaidlfx-openai-compatiblelfx-openailfx-oraclelfx-paddlelfx-valkeylfx-vllm |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 108,264 / month, #12,566 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: langflow-1.11.3-py3-none-any.whl
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See also langflow-base · lfx · langchain-cli · langgraph · taskflow · pipecat-ai-flows · mlflow · uipath-langchain · agent-framework-core