Learn how OpenCode and T3 Code 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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Last 30 days
Last commit
Repository age
Version
License
Repository

Both OpenCode and T3 Code 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.
OpenCode significantly outpaces T3 Code in community adoption with 201,301 stars compared to 20,460 stars on GitHub. This 9.8x difference suggests OpenCode has a much larger and more active community. In terms of developer contributions, OpenCode has 26,075 forks, indicating strong developer engagement.
T3 Code is growing faster, adding 5,475 stars in the last 30 days (+37%) against adding 11,425 stars for OpenCode (+6%). T3 Code is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with OpenCode last updated 10 hours ago and T3 Code 12 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX. However, they differ in their additional technology choices: OpenCode uses Rust, Tauri.
Both projects started around the same time, with OpenCode beginning 1 year ago and T3 Code 7 months ago.
Both projects use the MIT license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Coding Agents.