TokenTelemetry vs Caw
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 |  Caw |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 9 votes | 81 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#GitHub#Artificial Intelligence#Open Source | #Developer Tools#OpenAI Day#GitHub#Vibe coding#Open Source |
| 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.