rtk-ai/rtk
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Agent-agnostic token optimization: compress, route, filter, and more. One composable pipeline across everything your AI agent reads and sends — built on RTK's battle-tested bash-output compression (up to 90% smaller). Website • Install • Troubleshooting • Architecture • Discord English • Francais • 中文 • 日本語 • 한국어 • Espanol • Português rtk filters and compresses command outputs before they reach your LLM context. Single Rust binary, 100+ supported commands, <10ms overhead. Angular builds are supported with rtk ng build: compact build tables with every bundle and diagnostic retained. RTK intercepts shell commands and compresses their output before your agent reads it. RTK reduces the bash output your agent reads. That is what RTK measures, and it is not the same as cutting your bill by the same amount. Bash output is one contributor to input tokens, alongside your prompt, the system prompt and conversation history. Input tokens are in…
Read the full README ↗ · Preview checked 2026-10-30T09:53:28.637Z
Inside the original README — Document outline
- What RTK Does
- How Savings Work
- Installation
- What You Install
- Quick Start
- How It Works
- Supported AI Tools
- What RTK Covers
- Measure It
- RTK Proxy (optional)
- The Engine (pipeline.toml)
- Documentation
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What this repository does
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
Repository facts
- Owner
- rtk-ai
- Primary language
- Rust
- Stars
- 85,117
- Forks
- 5,436
- Open issues + pull requests
- 1,644
- License
- Apache-2.0
- Archived
- No
- Default branch
- develop
- Created
- 2026-01-22T16:54:16.000Z
- Last push
- 2026-10-30T18:07:02.000Z
Topics and intended use
Owner-supplied topics: agentic-coding, ai-coding, anthropic, claude-code, cli, command-line-tool, cost-reduction, developer-tools, llm, open-source, productivity, rust, token-optimization
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Source and freshness
Source: GitHub. Metadata observed 2026-10-31T12:19:26.881Z. Daily imports are snapshots, not real-time monitoring.
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