Organization

rtk-ai

@rtk-ai • rtk tools to optimise your vibecoding. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

100%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

6 repos

Visible snapshot

6 repositories updated in the last 90 days.

Leading language

Rust

Portfolio mix

Rust (4), Ruby (1), HTML (1)

Average size

6.5K

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

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Updated: 2026-04-06(23d ago)GitHub API fallback6 repositories

Portfolio Shape

100%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

6.5K

stars per repository in this same snapshot.

Current Mix

Rust

is the most common language here, with 6 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 99% of its visible star count.

Flagship share 99%Breakout repo: rtk

Organization pages work best when you separate portfolio breadth from flagship concentration. In rtk-ai's case, the visible top three repositories account for about 100% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Rust (4), Ruby (1), HTML (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#	Repository	Language	⭐ Stars	🍴 Forks	Updated
1	rtk-ai/rtk CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies	Rust	38.7K	2.4K	Today
2	rtk-ai/icm Permanent memory for AI agents. Single binary, zero dependencies, MCP native.	Rust	277	24	Today
3	rtk-ai/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.	Rust	93	8	1 weeks ago
4	rtk-ai/grit Git for AI agents — zero merge conflicts, any number of parallel agents, same codebase	Rust	48	3	3 weeks ago
5	rtk-ai/homebrew-tap Homebrew tap for rtk-ai tools (rtk, vox)	Ruby	11	3	Today
6	rtk-ai/rtk-ldp Landing page for rtk — Rust Token Killer	HTML	1	1	1 weeks ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.

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Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.

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How to Read This Snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.