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TraceRoot.AI is an open source, AI-native observability and debugging platform designed to help engineering teams resolve production issues faster. It consolidates telemetry into a single correlated execution tree that provides causal context for failures. AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context.
Features
- Get started with TraceRoot in minutes with our simple setup process
- Bring your own model (OpenAI, Anthropic, local LLMs) for AI-powered debugging
- Cross-platform support with distributed setup for enterprise-scale debugging
- Cursor-like interface specialized for debugging with AI assistance
- Native integration with GitHub, Notion, Slack, and other tools
Project Samples
