Learn how LobeChat and OpenWork 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.
Last 30 days
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both LobeChat and OpenWork 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.
LobeChat significantly outpaces OpenWork in community adoption with 82,023 stars compared to 23,081 stars on GitHub. This 3.6x difference suggests LobeChat has a much larger and more active community. In terms of developer contributions, LobeChat has 15,837 forks, indicating strong developer engagement.
OpenWork is growing faster, adding 5,779 stars in the last 30 days (+33%) against adding 1,142 stars for LobeChat (+1.4%). OpenWork is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with LobeChat last updated 5 hours ago and OpenWork 5 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: OpenWork leverages Rust, Tauri.
LobeChat has been in development longer, starting 3 years ago, compared to OpenWork which began 7 months ago. This 2.7-year head start suggests LobeChat may have more mature features and established processes.
OpenWork is licensed under MIT, while LobeChat's license terms are not publicly specified.
Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: LobeChat also focuses on AI Chat Interfaces.
Both LobeChat and OpenWork offer self-hosting capabilities, giving you full control over your data and infrastructure.