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Alternatives to Cognitally

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables local-first tracking of AI token usage and costs from Claude Code and OpenCode, answering queries about tokens, models, sessions, and cost through MCP tools and a CLI, with no network calls.
      1,170 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides coding agents with pre-flight cost estimation by analyzing local logs to forecast token usage and quota impact before expensive work, exposing tools for remaining quota, per-task cost estimates, and attempt affordability.
      162 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Lets an AI agent check its own Claude and Codex usage limits — used percentages and exact reset times for session and weekly windows — so it can plan long-running work around resets instead of dying mid-task. It reads local, credential-free sources by default, always reports which source answered, and ships a hook that pushes quota state into context automatically.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides tools for Claude to query local Claude Code token usage and cost data, enabling spend analysis and insights through natural language.
      8 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Reads the Claude Code, Codex and OpenCode usage logs already on your machine and reports token totals, per-day and per-hour activity, a per-agent and per-model breakdown, and a year-in-review recap. It makes no network request at all — a test fails if any source file in the package can open a socket.
      4
      15
      MIT