Token Monitor
Local-first desktop widget for real-time AI token and cost monitoring
Token Monitor fills a real gap for developers juggling multiple AI tools, offering a polished, local-first widget that surfaces usage data without phoning home. Its breadth of integrations and the optional history dashboard are standout features, though the reliance on self-hosted sync may deter less technical users.
- Developers using multiple AI coding assistants simultaneously
- Teams needing centralized, privacy-respecting telemetry
- Power users hitting rate limits and wanting proactive warnings
- Hobbyists who want to analyze their AI coding spending across tools
- Users who want a cloud-managed, zero-setup solution
- Those needing built-in collaboration or sharing features
- Casual users of a single AI tool who don't need granular tracking
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In short
Token Monitor — Local-first desktop widget for real-time AI token and cost monitoring. Best for Developers using multiple AI coding assistants simultaneously, Teams needing centralized, privacy-respecting telemetry, Power users hitting rate limits and wanting proactive warnings. Free to use.
Viability Score
How likely is Token Monitor to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Local-first desktop widget for real-time AI token and cost monitoring
- Live token, cost, and cache-hit rate display per tool
- Support for 20+ AI coding tools: Claude Code, Codex, Cursor, etc.
- Limit monitoring: session, weekly, billing, credits, balance windows
- Provider status widget for Claude, OpenAI, Cursor, DeepSeek
- Per-session detail with token counts per prompt/reply
- Opt-in history dashboard with GitHub-style activity heatmap
- Stacked per-tool and per-model usage bar charts and K-line views
- Cross-device aggregation via self-hosted sync hub
- Menu bar & tray integration on macOS and Windows
- Floating bubble mode for compact access
- Discord Rich Presence integration (opt-in)
- iOS widget via Widgy or Scriptable (Worker hub)
- Light and dark mode theming
- No account or cloud required for local mode
About Token Monitor
Token Monitor is a local-first desktop widget that provides real-time telemetry for AI coding assistants, tracking token usage, cost, limits, sessions, and trends across 20+ tools. It runs locally on macOS and Windows, with opt-in history enabling a full dashboard featuring GitHub-style activity heatmaps, stacked per-tool and per-model usage charts, and per-session breakdowns. The widget connects directly to local transcripts or databases to capture per-session detail, never syncing data externally unless the user enables the self-hosted sync option. Key features include live token/cost tracking, limit monitoring (session, weekly, billing, credits), provider status for Claude, OpenAI, Cursor, and DeepSeek, and cross-device aggregation via self-hosted hub. Token Monitor is free and open source, with no account or cloud required for local mode, making it a privacy-conscious choice for developers who want visibility into their AI tool usage without surrendering telemetry to third parties. Unlike cloud dashboards, it offers a compact, glanceable interface that adapts to light/dark mode and integrates into menu bar, tray, floating bubble, and Discord Rich Presence.
Behind the Verdict
Token Monitor is the kind of tool you don't realize you need until you're three AI assistants deep and wonder where your credits went. It tracks Claude Code, Codex, Cursor, OpenCode, and a dozen others in one widget, updating within seconds. The local-first design means no cloud dependency—your usage data stays on your machine unless you opt into self-hosted sync. For power users hitting rate limits, the limit monitors (session, weekly, billing, credits) are a lifesaver, showing remaining quota right in the widget. The optional history dashboard is surprisingly polished, with heatmaps and per-model spend that rivals cloud dashboards. Where it falls short is setup friction: less technical users may struggle with configuring self-hosted sync or installing the widget on Linux (Intel Macs and Linux need manual setup from the README). It also lacks built-in team collaboration or enterprise compliance. Compared to cloud-based alternatives like Vercel's or OpenAI's dashboards, Token Monitor offers more granular control and privacy, but requires more hands-on configuration. In practice, we'd reach for this when managing multiple AI subscriptions across several machines—it gives a unified view without a privacy hit. The open-source ethos and free pricing are a bonus, but the true value is for developers who treat AI tools as infrastructure and want to optimize spend.
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Use Cases
- Monitor real-time token burn and cost across Claude Code, Codex, and Cursor in a single glance.
- Set up proactive limit alerts to avoid hitting session or billing caps mid-task.
- Review per-session detail for Claude Code to optimize prompt length and cache hits.
- Track AI tool usage trends across multiple machines over months via the history dashboard.
- Keep an eye on provider status for Claude, OpenAI, Cursor, and DeepSeek without switching tabs.
Models Under the Hood
Limitations
- Token Monitor is desktop-only (macOS/Windows) with no mobile or web version.
- The history dashboard is opt-in and requires local storage, with no built-in backup beyond optional self-hosted sync.
- Provider status depends on public status pages; some tools may not expose real-time limits via local transcripts.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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