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    • F
      license
      A
      quality
      C
      maintenance
      Reduces token consumption by 73-87% by cleaning web and API data before it reaches the LLM context window. Supports fetching URLs, searching the web, optimizing JSON, and more.
      6
      1
    • A
      license
      Not graded
      quality
      A
      maintenance
      Context compression plugin for Claude Code that automatically trims large tool outputs like JSON, CSV, and stack traces to save context window space.
      64
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Filters verbose terminal output from commands like npm install, pip install, docker build, and pytest, reducing context token consumption for AI agents by condensing logs, removing progress bars, and grouping repeated warnings.
    • A
      license
      Not graded
      quality
      D
      maintenance
      An adaptive tiny-model layer that sits between an LLM and its MCP tools, compressing verbose tool outputs to reduce token usage by up to two orders of magnitude.
      1
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Compacts noisy test, build, and cloud-log output before an AI agent reads it — dedupes repeats, collapses stack frames, folds Playwright retries, and renders CloudWatch/GCP JSON logs down to the signal. Typically 80–95% fewer tokens on failures. Tool: compact_output. Run: npx -y logslim logslim-mcp
      1
      13
      5
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Token compression for AI contexts, reducing token consumption by compressing conversation exchanges before they enter the LLM context window.
      MIT

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