開発ツール
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One Rust CLI for every LLM: shell assistant, chat REPL, RAG, tools and agents across 20+ providers.
★ 10.5k スターApache-2.0
ガイドを見る →rtkは、rtk-aiが公開しているオープンソースの開発ツールプロジェクトです（GitHub: rtk-ai/rtk）。GitHubスターは82,705、フォークは5,253で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
CLI proxy that cuts LLM token consumption 60-90% on common dev commands — one Rust binary
Decide what you want from rtk and check the README and requirements to confirm it fits your setup and Rust environment.
Clone the repository from GitHub (github.com/rtk-ai/rtk) or use the documented install channel if you do not need the source.
Follow the README quickstart to install dependencies and set any required configuration or credentials.
Work through the README's first example end to end, then adapt it to your own project or data.
Filters and compresses common dev command output before it reaches the LLM, cutting tokens substantially.
One binary with zero dependencies — no runtime to install.
Optimized handling for git, file listing and other frequent developer commands.
Wraps the commands your agent already runs, so workflows do not change.
Available via Homebrew, winget, Cargo and pre-built binaries.
Apache-2.0 licensed and developed in the open.
Start by getting the source and entering the project directory.
git clone https://github.com/rtk-ai/rtk.git
cd rtkHomebrew is the recommended route on macOS; winget and Cargo are also documented.
brew install rtkVerify the installation, then let your agent's commands flow through rtk.
rtk --version # see README for the exact commandIt is maintained by rtk-ai and contributors on GitHub, where the repository github.com/rtk-ai/rtk is the canonical home for code, issues and releases.
Yes — it is open source under the Apache-2.0 license. Read the license in the repository for what is permitted, including any conditions on redistribution or commercial use.
No. RTK is a local proxy binary and needs no key; your agent keeps using your own account.
Compared with manually truncating command output: RTK automates output compression for many commands instead of relying on ad-hoc head/tail piping.
Clone github.com/rtk-ai/rtk, follow the README quickstart to install it, and run the documented first example before adapting it to your own work.
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