RTK - Rust Token Killer
4.0RTK reduces Claude Code token usage by 60-90%, measured across 2,900+ real commands. Removes 89% avg noise, extends sessions 3x, zero config. MIT licensed.
About
RTK (Rust Token Killer) is a high-efficiency token compression tool built specifically for Claude Code users. By deeply analyzing redundant information in command-line interactions, RTK reduces token consumption by 60% to 90% with zero configuration required. Based on real-world measurements across more than 2,900 actual commands, RTK eliminates an average of 89% of useless noise, extending the effective working time of a single session to three times its original length. The project is released under the MIT open-source license, welcoming community contributions and audits.
Key Features
Pricing & Fees
- Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
- Open source core: The core RTK tool is free and open source under the Apache 2.0 license, with no hidden costs or vendor lock-in.
- Paid tier: A commercial offering, RTK Pro ("the AI Control Layer for your team"), is referenced on the official site; its pricing details are not shown on the pages reviewed.
- Cost savings: By compressing tool output, RTK reports reducing session context from 323k to 200k tokens (about 38% less), which lowers per-session model costs.
- Support options: The project accepts GitHub Sponsors funding, and support is available via Discord, GitHub discussions, and a support team.
Who It's For
RTK is ideal for heavy Claude Code users who run dozens of commands daily and want to significantly cut API costs while extending session length. It also suits teams and organizations looking to control AI usage expenses, thanks to its zero-config design that makes rollout across multiple users effortless. Open-source contributors interested in token compression algorithms will find opportunities to refine noise detection rules or adapt the tool to more terminal scenarios. And budget-conscious independent developers who want to maximize the value of every session without sacrificing AI assistance will benefit equally.