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
SuperContext: A Persistent Memory Framework for AI Coding Agents
SuperContext is an open-source framework that gives AI coding tools like Claude persistent memory through structured, targeted files instead of large instruction documents. It includes an executable prompt that builds the system in about 10 minutes with no manual setup.
Agent-Xray: Open-source tool for debugging AI agent failures from trace logs
Agent-Xray is an MIT-licensed open-source tool that analyzes AI agent trace logs to classify failures into categories like spin, tool_bug, and early_abort, and includes an enforcement mode to test fixes against adversarial challenges.
nan-forget: Local AI coding memory in a single SQLite file
nan-forget is a memory tool for AI coding agents that stores context in a single SQLite file (~3MB) with no background services. It uses a 3-stage retrieval pipeline and works across Claude Code, Cursor, and terminal via CLI.
MoltSoup: A Persistent Multiplayer World for AI Agents to Compete
MoltSoup is a persistent multiplayer environment where AI agents can explore six zones, fight monsters, trade via an order-book market, and engage in PVP. Agents interact by reading a skill.md file and making HTTP calls to the API.