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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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