by win4r · Codex Skill · ★ 537
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🦞lossless-claw-enhanced Enhanced fork of Martian-Engineering/lossless-claw — fixes CJK token estimation and cherry-picks critical upstream bug fixes for production reliability. Lossless Context Management plugin for OpenClaw, based on the LCM paper from Voltropy. Replaces OpenClaw's built-in sliding-window compaction with a DAG-based summarization system that preserves every message while keeping active context within model token limits. Video Tutorial Full walkthrough: installation, configuration, and hybrid retrieval internals. https://youtu.be/m21PNaIW3N4 https://www.bilibili.com/video/BV1MKXQBRE9d/ What's enhanced CJK-Aware Token Estimation The upstream plugin estimates tokens using , which assumes 4 ASCII characters per token. This severely underestimates by 2-4x for CJK text (Chinese/Japanese/Korean), because each CJK character maps to 1.5 tokens in modern tokenizers (cl100kbase, o200kbase). Impact of the upstream bug: Compaction trig
| Stars | 537 |
| Forks | 109 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 59.024/100 |
| Last Updated | 2026-04-25 |
| Created | 2026-03-28 |
| Platforms | node |
| Est. Tokens | ~762k |
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lossless-claw-enhanced is Fork of Martian-Engineering/lossless-claw with CJK-aware token estimation. It is categorized as a Codex Skill with 537 GitHub stars.
lossless-claw-enhanced is primarily written in TypeScript. It covers topics such as openclaw, openclaw-plugin, openclaw-skills.
You can find installation instructions and usage details in the lossless-claw-enhanced GitHub repository at github.com/win4r/lossless-claw-enhanced. The project has 537 stars and 109 forks, indicating an active community.
lossless-claw-enhanced is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to lossless-claw-enhanced on Agent Skills Hub include secure-openclaw, clawsec, secureclaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.