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Claw Compactor: compress LLM tokens 54% with zero dependencies

GitHub - open-compress/claw-compactor: 🦞 LLM Token Compression & Reduction Tool — Cut AI agent token costs by up to 97%. 6-layer deterministic context compression for AI agent workspaces. No LLM required. Prompt compression, context window optimization & cost reduction for any LLM pipeline.

github.com

March 18, 2026

6 min read

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50/100

Summary

Claw Compactor is an open-source LLM token compression engine that reduces AI agent token costs by up to 97% using a 14-stage Fusion Pipeline. It features 54% average compression, zero LLM inference cost, and is designed for prompt compression and context window optimization without requiring an LLM.

Key Takeaways

  • Claw Compactor achieves an average token compression rate of 54% with zero LLM inference cost.
  • The tool utilizes a 14-stage Fusion Pipeline for specialized compression techniques, including AST-aware code analysis and semantic deduplication.
  • Claw Compactor allows for reversible compression, enabling retrieval of original content through a hash-addressed storage system.
  • The compression rates for various content types, such as JSON and Python source code, show significant improvements over legacy methods, with some achieving over 80% compression.
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