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Alternatives to howlong

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    • A
      license
      A
      quality
      D
      maintenance
      Provides time intelligence, persistent memory and complete traceability for AI coding agents. Enables sophisticated activity tracking, timezone management, smart reminders, and cross-session continuity with support for both per-project and centralized storage modes.
      9
      7
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Time estimation MCP server for AI agents. It provides PERT, COCOMO II, Monte Carlo simulation, sprint forecasting, token-to-time and cost mapping, and schedule-risk tools.
      26
      402 npm
      8
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to estimate wall-clock runtime, peak memory footprint, OOM risk, and optimal batching before launching ML training or inference jobs, and to log completed runs for continuous calibration. It exposes just two ultra-compact tools so estimation fits in under 200 tokens of agent context.
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Prices your Claude Code and Codex sessions from the transcripts on disk, shows what each agent cost over any period, and tells you in plain English what would have been cheaper. CLI, Browser UI and MCP server.
      8
      5
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Lets a coding agent inspect its own run efficiency mid-session from local Claude Code transcripts, exposing the share of paid tokens that became model output versus context re-reading. Ships two stdio tools — one returning the shares as structured data and one returning the full cost-weighted report — with no network calls.
      2
      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.
      107 npm
      MIT