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    • A
      license
      Not graded
      quality
      C
      maintenance
      Compresses tool outputs, manages token budgets, deduplicates content, and filters by relevance to optimize context window usage for AI agents.
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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible clients and autonomous agents to dynamically compress long-horizon context by pruning verbose tool outputs, HTML boilerplate, and semantic redundancy by 40-70%. It reduces token burn and latency through deterministic, zero-dependency processing.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables a coding agent to compress noisy tool output such as compiler errors, failing test runs and repeated logs before it enters the context window, and to fetch any collapsed ref back as its exact original text. Two tools, squeeze_fetch and squeeze_compress, keep the reduction reversible by the model itself.
      2 npm
      1
      MIT

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