Learn how Roomote and SWE-agent differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai coding agents is best for you.
Last 30 days
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Repository

Both Roomote and SWE-agent 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.
SWE-agent significantly outpaces Roomote in community adoption with 20,369 stars compared to 247 stars on GitHub. This 82.5x difference suggests SWE-agent has a much larger and more active community. In terms of developer contributions, SWE-agent has 2,230 forks, indicating strong developer engagement.
Roomote is growing faster, adding 51 stars in the last 30 days (+26%) against adding 275 stars for SWE-agent (+1.4%). Roomote is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Roomote last updated 5 hours ago and SWE-agent 5 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash. However, they differ in their additional technology choices: Roomote uses Typescript, JSX, Next.js while SWE-agent leverages Python.
SWE-agent has been in development longer, starting 2 years ago, compared to Roomote which began 3 months ago. This 2.3-year head start suggests SWE-agent may have more mature features and established processes.
SWE-agent uses the MIT license, which is more permissive than Roomote's FCL-1.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Coding Agents.
Roomote provides self-hosting options for complete data control and customization, while SWE-agent may be primarily cloud-based or require different deployment approaches.