Tokimeter vs Aming Claw
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 |  Aming Claw |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 22 votes | 5 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#Open Source#GitHub | #Developer Tools#Open Source#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 Aming Claw
Aming Claw is an open-source governance infrastructure designed specifically to solve the problem of AI agent drift during long-running work. When autonomous agents lose their verified state and begin guessing among multiple potential next actions, reliability plummets. Aming Claw addresses this by verifying an agent’s exact position, pushing a single legal next entrance, and strictly preserving causal evidence across handoffs.
Built as a robust developer tool, Aming Claw introduces a graph-backed backlog, independent worker and QA roles, auditable bypasses, and controlled merge/reconcile flows. The core philosophy is to shift human intervention from acting as an expensive, real-time GPS to providing high-level judgment only when truly needed.
Pros of Aming Claw
- Prevents AI agent drift during long-running tasks by verifying state and enforcing single legal next steps
- Open-source infrastructure with graph-backed backlogs and causal evidence preservation across handoffs
- Separates concerns with independent worker and QA roles
- Includes controlled merge/reconcile flows and auditable bypasses
Cons of Aming Claw
- Requires setup and integration as a developer tool
- Relies on community/open-source support channels via GitHub and Twitter
Frequently Asked Questions
What is Aming Claw?
Aming Claw is open-source governance infrastructure built to ensure reliable, long-running AI agents by verifying their position, enforcing legal next actions, and preserving causal evidence.
How does Aming Claw prevent AI agent drift?
It prevents drift by verifying the agent's current state, pushing one legal next entrance, utilizing a graph-backed backlog, and enforcing independent worker/QA roles with controlled merge and reconcile flows.
Where can I access Aming Claw?
Aming Claw is available as an open-source project on GitHub via the official repository links.