rtk tools to optimise your vibecoding
6
Public repositories
62,737
Total stars
554
Followers
The GitHub presence of rtk-ai encompasses a wide range of repositories focused on optimizing AI development tools. Notable projects include rtk, a CLI proxy in Rust that reduces LLM token consumption, and vox, a universal AI toolkit for speech processing. The organization primarily utilizes Rust, Ruby, and Astro in its development efforts.
Top languages
Public repositories
rtk
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
icm
Permanent memory for AI agents. Single binary, zero dependencies, MCP native.
vox
A universal AI toolkit for high-performance Speech-to-Text (STT) and Text-to-Speech (TTS) processing, designed for low-latency and easy model integration.
grit
Git for AI agents — zero merge conflicts, any number of parallel agents, same codebase
homebrew-tap
Homebrew tap for rtk-ai tools (rtk, vox)
rtk-ldp
Landing page for rtk — Rust Token Killer
Frequently asked questions
What does rtk-ai build on GitHub?
rtk-ai builds tools aimed at optimizing AI workflows on GitHub. Their repositories include rtk, an efficient CLI proxy, and vox, a toolkit for Speech-to-Text and Text-to-Speech processing, among others.
Which programming languages does rtk-ai use?
The primary programming languages used by rtk-ai are Rust, Ruby, and Astro. These languages support their focus on creating efficient and reliable AI development tools.
Are rtk-ai's repositories public?
Yes, rtk-ai's repositories are public on GitHub, allowing users to access and contribute to their projects. This transparency supports collaboration and community engagement in optimizing AI tools.
Is this exposure intended?
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