Langflow is a visual and code-based platform for building, testing, and deploying AI agents and workflows. It targets developers and researchers seeking to rapidly prototype and integrate LLM-powered applications, offering both a no-code visual interface and direct Python access for customization.

How It Works

Langflow provides a visual drag-and-drop interface for constructing complex AI workflows, abstracting away much of the underlying code. It supports integration with major LLMs, vector databases, and AI tools, allowing users to build agents with multi-agent orchestration and retrieval capabilities. Flows can be deployed as API endpoints or exported as JSON for integration into existing Python applications.

Quick Start & Requirements

• Install: uv pip install langflow or pip install langflow
• Requirements: Python 3.10 to 3.13.
• Deployment: Self-hosted via Docker or fully-managed by DataStax.
• Docs: https://docs.langflow.org/

Highlighted Details

• Visual builder for rapid prototyping.
• Direct Python access for component tweaking.
• Playground for step-by-step testing and iteration.
• API deployment and JSON export options.
• Observability integrations (LangSmith, LangFuse).

Maintenance & Community

Langflow is actively maintained and welcomes community contributions. Links to contributing guidelines and GitHub are provided.

Licensing & Compatibility

The project is open-source, with licensing details not explicitly stated in the README but implied to be permissive for self-hosting and integration.

Limitations & Caveats

The README does not detail specific limitations, performance benchmarks, or potential caveats regarding enterprise security or scalability beyond stating it is "enterprise-ready."