TokenTelemetry vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
TokenTelemetry
See what your AI coding agents think, cost and do
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | TokenTelemetry |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 9 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Artificial Intelligence#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 TokenTelemetry
TokenTelemetry is an open-source developer tool designed to give you deep visibility into what your AI coding agents think, cost, and do. Instead of requiring complex setups, TokenTelemetry works by reading the session logs that your AI coding agents already write directly to your disk, transforming them into a comprehensive local dashboard.
With support for 13+ popular agents—including Claude Code, Codex, Cursor, Copilot, Gemini CLI, Antigravity, Grok, OpenCode, Cline, Qwen, Pi, and Hermes—the tool tracks crucial metrics such as token usage, cost accumulation, step-by-step trace replays, subagents, skills, and Model Context Protocol (MCP) calls.
Built with developer privacy and simplicity in mind, TokenTelemetry requires no SDK, no code changes, and no cloud account. It can be installed with a single command, keeping all of your data entirely secure and local on your machine.
Pros of TokenTelemetry
- Supports 13+ popular AI coding agents out of the box (Claude Code, Cursor, Copilot, Cline, etc.)
- Requires zero SDK integrations, code modifications, or cloud accounts
- Complete local-first architecture ensures all session data stays on your machine
- Provides granular insights including token consumption, costs, and step-by-step trace replays
- Open-source developer tool with a simple one-command installation
Cons of TokenTelemetry
- Relies entirely on existing session logs written to disk by the supported AI agents
- Limited to local dashboards without native cloud-sharing or team synchronization features mentioned
Frequently Asked Questions
What is TokenTelemetry?
TokenTelemetry is an open-source local dashboard that reads session logs written to disk by AI coding agents to track metrics like token usage, costs, subagents, MCP calls, and step-by-step traces.
Which AI coding agents are supported?
It supports 13+ agents including Claude Code, Codex, Cursor, Copilot, Gemini CLI, Antigravity, Grok, OpenCode, Cline, Qwen, Pi, and Hermes.
Do I need a cloud account or SDK to use TokenTelemetry?
No. TokenTelemetry requires no SDK, no code changes, and no cloud account. Everything runs locally on your machine and can be installed with a single command.
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.