What is the main difference between Dograh and Langflow?

Dograh and Langflow are both ai agent platforms but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: Dograh or Langflow?

The choice between Dograh and Langflow depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from Dograh to Langflow?

Migration between Dograh and Langflow is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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Dograh vs Langflow

Learn how Dograh and Langflow differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai agent platforms is best for you.

Dograh

Open-source voice agent platform that lets you plug in your own STT, LLM, and TTS models, deploy on-prem or in your VPC, and build agents via MCP or a visual workflow builder.

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6,098stars+209(+3.5%)

Last 30 days

Last commit
4 hours ago
Repository age
1 year
Version
v1.51.0
License
BSD-2-Clause
Self-hosted
Yes
Repository
dograh-hq/dograh

Langflow

Build, deploy, and iterate on AI agents, RAG applications, and MCP servers using a drag-and-drop visual interface backed by Python.

Visit Langflow Read more

156,676stars+922(+0.6%)

Last 30 days

Last commit
4 hours ago
Repository age
4 years
Version
v1.13.2
License
MIT
Self-hosted
Yes
Repository
langflow-ai/langflow

Detailed Comparison

Both Dograh and Langflow have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Langflow wins

Community & Popularity

Langflow significantly outpaces Dograh in community adoption with 156,676 stars compared to 6,098 stars on GitHub. This 25.7x difference suggests Langflow has a much larger and more active community. In terms of developer contributions, Langflow has 10,414 forks, indicating strong developer engagement.

Dograh wins

Growth Momentum

Dograh is growing faster, adding 209 stars in the last 30 days (+3.5%) against adding 922 stars for Langflow (+0.6%). Dograh is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable

Development Activity

Both projects show recent activity, with Dograh last updated 4 hours ago and Langflow 4 hours ago.

Comparable

Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: Dograh uses Next.js.

Langflow wins

Project Maturity

Langflow has been in development longer, starting 4 years ago, compared to Dograh which began 1 year ago. This 2.6-year head start suggests Langflow may have more mature features and established processes.

Comparable

Licensing

The projects use different licenses: Dograh is licensed under BSD-2-Clause while Langflow uses MIT. Consider the licensing requirements when choosing for your project.

Comparable

Use Cases & Features

Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Dograh also focuses on Chatbot Platforms while Langflow extends into Low-Code/No-Code, LLM Application Frameworks.

Comparable