LLM Orchestration

Langflow

A UI for LangChain to orchestrate language models and chains.

Status
Generally available
Last checked
Checked · Oct 17, 2026
License
Open source
Pricing
Free tier
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What it is

LangFlow is a user interface designed to simplify the creation and management of complex workflows involving language models using LangChain. It provides an intuitive way to build, test, and deploy AI-driven applications without extensive coding knowledge.

LangFlow stands out by providing a visual interface for building complex workflows with LangChain, making AI orchestration accessible to developers without deep coding expertise.

When it fits — and when it doesn’t

A good fit for

  • Developers looking to quickly prototype and deploy AI applications using LangChain.

  • Data scientists who need an easy-to-use interface for orchestrating language models.

  • Teams that want a self-hosted solution with full control over their data.

Look elsewhere if

  • Projects requiring real-time streaming capabilities as it focuses on batch processing.

  • Users looking for cloud-managed services, as Langflow is primarily self-hosted.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other platforms and tools

    Primarily designed for LangChain, lacks native support for popular alternatives like Rasa or Dialogflow

  2. 02

    Performance issues under heavy load

    Known to slow down significantly with more than 10 concurrent complex workflows

What it does well

  • Visual interface for building complex language model workflows.

  • Integration with LangChain for advanced AI orchestration.

  • Supports a wide range of language models and chains.

  • Self-hosted solution providing full control over data.

Pricing

Free tier
Yes
Paid from
—
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Langflow

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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