Tokimeter vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Tokimeter
Local usage analytics for Claude, Codex, Cursor, Grok & More
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | Tokimeter |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 22 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#Open Source#GitHub | #Developer Tools#Open Source#Privacy#OpenAI Day |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About Tokimeter
Tokimeter is an open-source, local usage analytics tool designed specifically for developers using various AI coding assistants. By pulling the usage records that your AI coding tools already write to your machine, Tokimeter aggregates them into comprehensive, unified reports.
With Tokimeter, you can easily track exact token counts and associated costs broken down by project, session, day, tool, and model. It also monitors 5-hour and weekly limit windows, providing helpful budget warnings directly in your status line to help you manage your AI tool usage efficiently.
Designed with privacy in mind, Tokimeter requires no account and zero telemetry—everything stays securely on your local machine. It supports a wide range of platforms including Claude and Codex (both CLI and desktop apps), Cursor, Grok Build, Hermes, opencode, Cline, and Copilot CLI. You can generate a report instantly using npx tokimeter report under an MIT license.
Pros of Tokimeter
- Local-first architecture with zero telemetry; nothing leaves your machine
- Requires no account setup or configuration
- Comprehensive coverage of popular AI tools like Claude, Codex, Cursor, Grok Build, and more
- Tracks exact token counts and costs by project, session, day, tool, and model
- Open-source and MIT licensed
Cons of Tokimeter
- Limited to tools that write local usage records
- Requires using the command line interface (e.g., npx) to generate reports
- Relies on supported tool ecosystems mentioned in the metadata
Frequently Asked Questions
What is Tokimeter?
Tokimeter is a local usage analytics tool for AI coding assistants that consolidates your usage records into a single report, tracking token counts, costs, and limit windows.
Does Tokimeter send my data to external servers?
No. Tokimeter features zero telemetry, requires no account, and ensures that nothing ever leaves your machine.
Which AI coding tools are supported?
Tokimeter covers Claude and Codex (both CLI and desktop apps), Cursor, Grok Build, Hermes, opencode, Cline, and Copilot CLI.
How do I generate a report with Tokimeter?
You can generate a report instantly using the command: npx tokimeter report.
About AI Eyes
AI Eyes is a permission-first co-presence prototype designed for AI companions. Created by developer Deen Storkey, this open-source tool establishes a privacy-focused, local-first foundation for managing what your digital companions can see and hear.
With its initial v0.1 release, AI Eyes allows users to choose a specific screen or window to capture and gives granular, separate controls for screen, system audio, and microphone inputs. The interface makes it easy to invite named companions and ensures transparency by always displaying when sensing is active. Users can pause or end sessions at any time; ending a session immediately stops all media tracks and resets the session completely.
Built using Codex and GPT-5.6, this prototype is focused entirely on local-first permission, presence, and session-control. Please note that in this foundational stage, no external AI provider or semantic understanding has been connected yet.
Pros of AI Eyes
- Privacy-focused, local-first permission architecture
- Separate, granular control over screen, system audio, and microphone capture
- Clear visual indicators showing when active sensing is occurring
- Open-source code base allowing developers to review and build upon the prototype
Cons of AI Eyes
- It is a prototype (v0.1) and does not yet have an active AI provider or semantic understanding connected
- Limited to foundational capture and session-control features at this stage
Frequently Asked Questions
What is AI Eyes?
AI Eyes is an open-source, permission-first co-presence prototype built to manage what AI companions can access. It provides local-first controls over screen sharing, audio, and session state.
Does AI Eyes currently analyze my screen or voice?
No. In the v0.1 release, no AI provider or semantic understanding is connected. The prototype is currently a local-first foundation focused on permission, capture, presence, and session-control.
How do I control my privacy while using AI Eyes?
AI Eyes lets you choose exactly which screen or window to capture and gives you separate toggle controls for your screen, system audio, and microphone. There is also a clear indicator to show when sensing is active, and you can pause or end the session to stop all media tracks instantly.
What technologies were used to build AI Eyes?
The AI Eyes prototype was built using Codex and GPT-5.6.