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Errbit is a self-hosted exception logger and error monitoring server used for centralized exception management. It collects, aggregates, and organizes application crash reports from various software applications to identify bugs in a centralized location.
The main features of errbit/errbit are: Error Tracking, API Compatibility, Fingerprinting, Exception Management, Airbrake API Error Trackers, Airbrake API Implementations, Error Grouping, Lifecycle Management.
Projects with overlapping indexed features include: countly/countly-server — Countly is a self-hosted product analytics and engagement platform that tracks user behavior across mobile, web, and… oneuptime/oneuptime — OneUptime is an open-source observability platform designed for monitoring service availability, infrastructure… diet103/claude-code-infrastructure-showcase — This project is a collection of patterns and configurations for deploying AI agents with specialized technical skills… airbrake/airbrake — The official Airbrake library for Ruby applications. rollbar/rollbar-gem — Exception tracking and logging from Ruby to Rollbar. reactioncommerce/reaction — Reaction is an event-driven, headless commerce platform designed to decouple backend business logic from the frontend…
Countly is a self-hosted product analytics and engagement platform that tracks user behavior across mobile, web, and desktop applications. It collects and analyzes device properties, user actions, and session lifecycle data to understand engagement patterns, while also providing crash reporting, push notification delivery, and A/B testing capabilities. The platform is designed for privacy-first deployment, with built-in consent management and the ability to run entirely on private infrastructure. The platform distinguishes itself through its comprehensive feature set that combines analytics w
OneUptime is an open-source observability platform designed for monitoring service availability, infrastructure health, and application performance. It functions as a comprehensive system for tracking uptime and managing the end-to-end lifecycle of production incidents. The platform distinguishes itself through automated root cause analysis agents that identify failure triggers and generate code fixes via pull requests. It also provides branded public status pages to communicate real-time service availability and historical uptime data to end users. The system covers a broad range of operati
This project is a collection of patterns and configurations for deploying AI agents with specialized technical skills and personas. It provides a framework for agentic software engineering, defining standards for AI-driven development workflows and the management of modular technical capabilities. The system features a skill framework that activates technical guidelines based on prompt intent and a context management system that preserves project state using persistent plans and checklists across session resets. It employs a modular organization of guidelines to prevent context window overflo