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rtk-ai
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rtk-ai/rtk

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

Rust ◇ agentic-coding Apache-2.0
★81.8KSTARS
⑂5.2KFORKS
!1,544ISSUES
🏆#121GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for rtk-ai/rtk
CSV

Momentum

+2K

STARS · LAST 30 DAYS

68

PER DAY

#11

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+476+2K+6.1K
Per day686868
Forks gained+26+104+260

rtk gained 2K stars in the last 30 days, about 68 a day, and now has 81.8K. It is about 1 year old and has averaged roughly 81.8K stars a year. It ranks #11 among Rust repositories and #121 across all languages on GitHubRepo.

Trending Record

rtk has maintained a continuous presence across global trending indexes, peaking at #77. Below is the 30-day activity profile:

💡 Overview

rtk is an open-source project written in Rust: CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-coding, ai-coding, anthropic. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install rtk

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

rtk coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with rtk.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install rtk using your package manager: `cargo install rtk`

2

Initialize your project workspace or configuration file for rtk.

3

Import rtk into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `rtk --help` to verify successful setup.

👍 Strengths

Active community backing with 81,642 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

rtk-ai/rtk is currently ranked #121 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#116 junegunn/fzf Go ★ 83.3K Compare ↗
#117 mlabonne/llm-course — ★ 83.2K Compare ↗
#118 bytedance/deer-flow Python ★ 83.1K Compare ↗
#119 vitejs/vite TypeScript ★ 83K Compare ↗
#120 jesseduffield/lazygit Go ★ 82.7K Compare ↗
#121 rtk-ai/rtk This Project Rust ★ 81.8K
#122 spring-projects/spring-boot Java ★ 81.5K Compare ↗
#123 swisskyrepo/PayloadsAllTheThings Python ★ 81.3K Compare ↗
#124 netdata/netdata Go ★ 80.7K Compare ↗
#125 hoppscotch/hoppscotch TypeScript ★ 80.5K Compare ↗
#126 coder/code-server TypeScript ★ 79.5K Compare ↗

Frequently Asked Questions

What does rtk do? +

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

What language is rtk written in? +

The primary language is Rust. Topics include: agentic-coding, ai-coding, anthropic, claude-code, cli.

Is rtk actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 1,544 open issues being tracked.

How many stars does rtk have? +

rtk has 81,823 stars and 5,190 forks on GitHub.

How does rtk rank among GitHub repositories? +

With 81,823 stars, rtk-ai/rtk is ranked #121 globally across all repositories tracked on GitHubRepo and #11 among Rust projects.

What license is rtk distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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