Enterprise DNA
O Open Source Observability medium

onWatch

by Community

Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Ma

O

OSS

onWatch

Added 1 June 2026

#ai-api-monitoring #antigravity #api-monitoring #claude-code #codex #developer-tools #golang #openai

Overview

A lightweight Go daemon that tracks AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot, and Antigravity in real time. It stores data in SQLite and offers a Material Design 3 dashboard. The daemon consumes under 50MB RAM and sends no telemetry.

Best for

Best for
Solo developers and small teams who need lightweight, privacy-focused quota tracking across multiple AI APIs

Use cases

  • Monitor real-time API quota consumption across multiple AI services
  • Inspect historical usage trends through the Material Design 3 dashboard
  • Run a low-overhead background quota tracker without external dependencies

Notes

A lightweight Go daemon that tracks AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot, and Antigravity in real time. It stores data in SQLite and offers a Material Design 3 dashboard. The daemon consumes under 50MB RAM and sends no telemetry.

649 stars on GitHub. Last updated 2026-05-24. Licensed GPL-3.0.

Use cases

  • Monitor real-time API quota consumption across multiple AI services
  • Inspect historical usage trends through the Material Design 3 dashboard
  • Run a low-overhead background quota tracker without external dependencies

Pros

  • Very lightweight (<50MB RAM, no external database required)
  • Zero telemetry: no data leaves the user’s system
  • Open source with 649 GitHub stars, written in Go

Cons

  • Only supports the listed APIs (Synthetic, Z.ai, Anthropic, Codex, GitHub Copilot, Antigravity)
  • SQLite storage may not scale well for teams with high request volumes
  • Community project may lack enterprise support or frequent updates

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Very lightweight (<50MB RAM, no external database required)
  • Zero telemetry: no data leaves the user's system
  • Open source with 649 GitHub stars, written in Go

Cons

  • Only supports the listed APIs (Synthetic, Z.ai, Anthropic, Codex, GitHub Copilot, Antigravity)
  • SQLite storage may not scale well for teams with high request volumes
  • Community project may lack enterprise support or frequent updates