TraceRoot.AI

TraceRoot.AI is an open-source observability and self-healing layer for AI agents. It provides full visibility into every LLM call, tool invocation, and agent decision by instrumenting your code with just a few lines. The platform uses OpenTelemetry-based tracing to capture detailed traces, then runs detectors to continuously evaluate those traces and alert you the moment an agent fails, hallucinates, or drifts. Additionally, an AI agent with access to your source code performs root cause analysis and automatically creates fix PRs. TraceRoot is designed for developers and teams building AI agents who need deep insight into agent behavior and automated debugging. It works by integrating via a lightweight SDK that instruments your code, sending traces to the TraceRoot backend where detectors analyze them. When issues are detected, the self-healing agent examines logs, code, and traces to diagnose problems and propose fixes via pull requests. What makes TraceRoot different is its combination of open-source observability with a self-healing AI agent that not only detects failures but autonomously repairs them. This goes beyond traditional monitoring by providing actionable fixes directly in your codebase. The platform is currently in active development with a growing community. Key capabilities include capturing every LLM call and agent step, running detectors for failures and hallucinations, and leveraging an AI agent for root cause analysis and automated fix PRs. TraceRoot is built on OpenTelemetry standards for broad compatibility.