Claw Compactor
by OpenCompress
Compresses LLM context such as code, JSON, logs, and chat history through a reversible 14-stage pipeline with no LLM calls, via a Python API and CLI, for agent developers.
Skills
Fusion Pipeline Compression
Routes code, JSON, logs, diffs, and search results through content-aware stages to cut token counts without LLM inference.
Reversible Rewind Retrieval
Stores originals behind hash markers so the LLM can call a tool to retrieve any compressed section.
Chat Message Compression
Compresses chat message lists with cross-message deduplication before the per-message pipeline.
Workspace Commands
Benchmarks, compresses, deduplicates, and estimates tokens across a workspace, with a watch mode for file changes.
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