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Developer Builds Privacy-First macOS Dashboard to Track Codex Token Usage Locally

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A developer has released UsageCove Local, a macOS dashboard designed to track OpenAI Codex session metadata without storing sensitive data like prompts, terminal output, or file paths. The tool scans Codex JSONL log files line by line, retaining only an allowlisted set of fields such as token counts, timestamps, model names, and session identifiers. To limit exposure, the dashboard binds to a random port on localhost, uses a session token exchanged for a strict cookie, and rejects unexpected host values — sending no telemetry to external services. CSV exports are triggered only by explicit user action and contain aggregated rows rather than raw log content. The project emphasizes data minimization over claims of full anonymity, noting that even directory labels in exports could reveal client or project names.

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