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Low-code visual builder for AI agents and workflows.
Catalogue
No. 082
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Development
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Overview

Langflow is a platform for building and deploying AI agents and workflows with a visual editor. Every flow can be served as an API or an MCP server, and it supports all major models and vector databases.

What it does well

Langflow lets you build flows visually, then customise any component in Python. An interactive playground tests flows step by step, and it supports multi-agent orchestration with retrieval. Flows deploy as an API, export as JSON for Python apps, or run as an MCP server, with observability through LangSmith and Langfuse. It runs as a desktop app, a Python package or a Docker container.

Why it’s in the collection

Langflow makes it quick to go from an idea to a working AI workflow you can call from your own code, and you can still drop into Python wherever you need control. It is MIT-licensed and easy to run locally.

On GitHub

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Languages

  • Python 68.9%
  • TypeScript 22.2%
  • JavaScript 8.4%
  • Other 0.5%

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