Ross ROSS = Recommend OSS · open-source software intelligence for agents

rtk-ai/rtk

Some data may be outdated — see provenance labels.

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies observed · 2026-09-28

github.com/rtk-ai/rtk · homepage · Rust · Apache-2.0 (permissive) observed · 2026-09-28

Health v2 · maintenance only

77/100

  • Activity 97
  • Release rhythm 84
  • Longevity 19
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 1.0
  • age_days: 271
  • days_rel: 26
  • days_push: 23
  • n_releases_24m: 85

Full methodology

Adoption not part of the score

81836 stars · 5190 forks observed · 2026-09-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.99

RTK (Rust Token Killer) is a high‑performance command‑line proxy that compresses and filters shell command output before it reaches a language model. It is delivered as a single Rust binary with zero runtime dependencies.

Use cases

  • reduce LLM token usage when running development commands in an AI coding assistant
  • compress git diff or git log output for more efficient context in code review bots
  • filter test runner output (cargo test, pytest) to only include failures for AI debugging
  • minimize noise from ls, grep, or find commands for AI agents that process file system data
  • lower costs of using paid LLM APIs by cutting unnecessary CLI output

When to choose

  • You need a drop‑in tool to shrink CLI output for any LLM‑powered developer assistant
  • You prefer a single, statically compiled binary with no external dependencies
  • Your workflow runs many repetitive commands whose full output overwhelms the model's context window

When to avoid

  • You require full, unaltered command output for downstream processing or auditing
  • You need support for commands not covered by RTK’s built‑in filters
  • You are using a language model with an extremely large context window where token savings are negligible

Facets

cli-tool · maturity active

cli middleware artificial-intelligence developer-tools windows cli rust token-saver llm-cost-reduction shell-output-compression linux macos

8 sources

Member repositories

RepositoryRoleHealth v2
rtk-ai/rtkmain77

For agents

markdown · JSON · MCP: product_card(name="rtk-ai/rtk")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem