onWatch: Open-source local API quota tracker with SQLite storage

onWatch is an open-source tool for tracking AI API quotas locally, designed specifically for the local-first software community. It keeps all data on your machine with no external dependencies.
Key Details
The tool's local-first approach includes:
- All data stored in local SQLite database
- No cloud service, no account creation, no telemetry
- Single binary (~13MB) - no runtime dependencies
- Background daemon, <50MB RAM usage
- Dashboard served locally on localhost
onWatch currently tracks 6 cloud API providers: Anthropic, Codex, Copilot, Synthetic, Z.ai, and Antigravity. This is useful for developers who use cloud APIs alongside local models and want visibility into their cloud spending.
The developer mentions potential future features including local model monitoring, such as ollama resource usage and VRAM tracking, if there's community interest.
The tool is available on GitHub at https://github.com/onllm-dev/onwatch.
📖 Read the full source: r/LocalLLaMA
👀 See Also

Corbell: Open Source CLI for Cross-Repo Architecture Analysis and Design Docs
Corbell is a free, open source CLI tool that scans multiple repositories to build an architecture graph and generate design documentation locally. It works fully offline with Ollama or supports various LLM providers, and never sends code off your machine.

LLMock: HTTP-based mocking server for deterministic LLM testing across processes
LLMock is a real HTTP server that mocks OpenAI, Claude, and Gemini APIs, allowing developers to run deterministic tests across multiple processes without hitting real APIs. It supports SSE streaming, tool calls, predicate routing, and request journaling with zero dependencies.

Reverse-engineered Claude Design System Prompt for slop-free AI UI agents
Open-source system prompt that replaces generic SaaS trope output with a disciplined design philosophy: WCAG, real CSS Grid, token-based systems, and 14 procedural skills.

Tastebud Memory: Reversible Agent Memory via Hyperdimensional Computing Vectors
Hyperdimensional computing replaces vector search for complete recall: list ALL days touching a project, detect unnamed workstreams, and decompose daily logs losslessly via dot products.