by open-compress · Agent Tool · ★ 2.1k
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{ "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Claw Compactor", "description": "14-stage Fusion Pipeline for LLM token compression with reversible compression, AST-aware code analysis, and intelligent content routing", "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform", "softwareVersion": "7.0.0", "license": "https://opensource.org/licenses/MIT", "url": "https://github.com/open-compress/claw-compactor", "downloadUrl": "https://github.com/open-compress/claw-compactor", "author": { "@type": "Organization", "name": "OpenClaw", "url": "https://openclaw.ai" }, "offers": { "@type": "Offer", "price": "0", "priceCurrency": "USD" }, "keywords": "token compression, LLM, AI agent, fusion pipeline, reversible compression, AST code analysis, context window optimization" } -- Claw Compactor 14-Stage Fusion Pipeline for LLM Token Compression [](LIC
| Stars | 2,137 |
| Forks | 164 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.91/100 |
| Last Updated | 2026-04-01 |
| Created | 2026-02-10 |
| Platforms | python |
| Est. Tokens | ~152k |
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claw-compactor is 14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.. It is categorized as a Agent Tool with 2.1k GitHub stars.
claw-compactor is primarily written in Python. It covers topics such as ai-agent-tools, ai-infrastructure, ast-code-analysis.
You can find installation instructions and usage details in the claw-compactor GitHub repository at github.com/open-compress/claw-compactor. The project has 2.1k stars and 164 forks, indicating an active community.
claw-compactor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claw-compactor on Agent Skills Hub include claw-compactor, FlyEnv, code-graph-rag. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.