Learn how Langflow and Tiledesk 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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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Langflow and Tiledesk 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 significantly outpaces Tiledesk in community adoption with 153,709 stars compared to 14 stars on GitHub. This 10979.2x difference suggests Langflow has a much larger and more active community. In terms of developer contributions, Langflow has 9,938 forks, indicating strong developer engagement.
Both projects show recent activity, with Langflow last updated 11 hours ago and Tiledesk 19 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: Langflow uses JSX, Python while Tiledesk leverages SCSS.
Tiledesk has been in development longer, starting 9 years ago, compared to Langflow which began 4 years ago. This 5.1-year head start suggests Tiledesk may have more mature features and established processes.
Both projects use the MIT license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Langflow also focuses on Low-Code/No-Code, LLM Application Frameworks while Tiledesk extends into Customer Communication Platforms, Chatbot Platforms, Live Chat & Messaging.
Both Langflow and Tiledesk offer self-hosting capabilities, giving you full control over your data and infrastructure.