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Botpress vs Langflow

Learn how Botpress 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.

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Favicon of Botpress

Botpress

A comprehensive platform for creating AI agents with intuitive tools, extensive integrations, and enterprise-grade features powered by the latest language models.
  • Stars


    14,704
  • Forks


    2,267
  • Last commit


    11 hours ago
  • Repository age


    10 years
  • License


    MIT
  • Self-hosted


    Yes
View Repository

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Screenshot of Botpress
Favicon of Langflow

Langflow

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


    148,754
  • Forks


    9,121
  • Last commit


    5 hours ago
  • Repository age


    3 years
  • License


    MIT
  • Self-hosted


    Yes
View Repository

Auto-fetched .

Screenshot of Langflow

Detailed Comparison

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

Langflow wins
Community & Popularity

Langflow significantly outpaces Botpress in community adoption with 148,754 stars compared to 14,704 stars on GitHub. This 10.1x difference suggests Langflow has a much larger and more active community. In terms of developer contributions, Langflow has 9,121 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Botpress last updated 11 hours ago and Langflow 5 hours ago.

Comparable
Technology Stack

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

Botpress wins
Project Maturity

Botpress has been in development longer, starting 10 years ago, compared to Langflow which began 3 years ago. This 6.3-year head start suggests Botpress may have more mature features and established processes.

Comparable
Licensing

Both projects use the MIT license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

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

Comparable
Hosting & Deployment

Both Botpress and Langflow offer self-hosting capabilities, giving you full control over your data and infrastructure.