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TraceRoot

Open-source observability and self-healing layer for AI agents

TraceRoot is a YC S25-backed open-source observability platform purpose-built for AI agents and LLM apps. It combines OpenTelemetry-compatible tracing with an agentic debugging runtime that reads your source code, correlates failures with recent commits, and proposes fix PRs automatically. BYOK support spans seven LLM providers; the entire stack runs self-hosted via Docker Compose, with TraceRoot Cloud available for managed deployments.

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About TraceRoot

TraceRoot is an open-source observability and self-healing layer designed specifically for AI agents and LLM-powered applications. Born out of the Y Combinator S25 batch, TraceRoot tackles a problem that traditional APM tools were never designed for: when an AI agent fails in production, traces alone do not explain why. The platform combines structured trace ingestion with an agentic debugging runtime that can read your source code, correlate failures with recent commits, and propose fixes as pull requests, turning observability from a passive monitor into an active repair loop.

Under the hood, TraceRoot ships an OpenTelemetry-compatible SDK for Python and TypeScript, a backend that stores traces and logs alongside the agent execution graph, and a frontend dashboard that surfaces token cost, latency, and tool-call breakdowns per session. The self-healing layer is where it goes beyond Langfuse, Helicone, or Phoenix: when a span fails, TraceRoot spins up a sandboxed reasoning agent that pulls the relevant code paths from your GitHub repository, traces the commit history that touched those paths, and suggests a patch using the model provider you have configured. Bring-your-own-key support spans seven major LLM providers, and the entire stack can be self-hosted via Docker Compose for teams with strict data residency requirements.

TraceRoot is a fit for engineering teams shipping production agent systems built on LangChain, LangGraph, CrewAI, OpenAI Agents SDK, or custom orchestration frameworks. It is particularly valuable for teams running multi-agent workflows where root cause analysis across nested tool calls becomes intractable with traditional tracing, and for organizations that want auto-fix PR proposals integrated into their normal code review flow. Apache 2.0 covers the open-source core, with separately licensed enterprise features for SSO, advanced RBAC, and managed hosting through TraceRoot Cloud. Pricing for the cloud tier is usage-based and team-friendly for early-stage projects, while self-hosting remains free.

Pricing & Platform Specs

Pricing Summary

TraceRoot is a 100% free and open-source agent observability platform under Apache-2.0 that provides distributed tracing, token-efficient debugging, and self-healing analysis for autonomous agents.

Supported Platforms

Self-hosted (Docker Compose) / Cloud / Python + TypeScript SDKs

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FAQ

What is TraceRoot?

TraceRoot is a YC S25-backed open-source observability platform purpose-built for AI agents and LLM apps. It combines OpenTelemetry-compatible tracing with an agentic debugging runtime that reads your source code, correlates failures with recent commits, and proposes fix PRs automatically. BYOK support spans seven LLM providers; the entire stack runs self-hosted via Docker Compose, with TraceRoot Cloud available for managed deployments.

Is TraceRoot free?

TraceRoot offers a free tier alongside paid plans. TraceRoot is a 100% free and open-source agent observability platform under Apache-2.0 that provides distributed tracing, token-efficient debugging, and self-healing analysis for autonomous agents.

Is TraceRoot open source?

Yes — TraceRoot is open source.

Is TraceRoot still maintained?

Yes — TraceRoot is active. Its listing was last verified on August 26, 2026.

What are the best TraceRoot alternatives?

The first editor-selected TraceRoot alternatives are LangSmith, Langfuse, OpenSRE, and more.