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logspace-ai/langflow
Langflow supports building and deploying agent workflows through a visual development environment.

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
- 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
- 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
- Category
- AI & Machine Learning › AI Agent Frameworks
- 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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