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    • 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
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides production-grade context compression for LLM agent conversations with Q-protective ranking, epistemic markers, and semantic store, reducing token usage while preserving equivalence.
      3
      Business Source 1.1
    • A
      license
      Not graded
      quality
      C
      maintenance
      Local-first, cross-session context store that reduces token usage by saving facts, decisions, and preferences, and recalling them in later sessions with token-efficient ranking and compression.
      2 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to compress and selectively retrieve context, with measured recall rather than claimed performance. It provides tools to assess potential traffic and token savings, list compression dictionaries, and assemble relevant memory entries within a token budget.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables local, offline prompt compression, smart asking when needed, and routing to the cheapest capable model to save tokens and costs for terminal AI agents.
      7 npm
      1
      MIT