TraceRoot
Open source self-improving layer for AI agents.
TraceRoot is an open-source, agent-native improvement layer for AI agents. It captures production traces, runs detectors to identify failures and inefficiencies, and turns judge outputs into improvement signals that a coding agent can investigate and act on. Offline evals then compare changes against datasets and baselines to verify fixes and catch regressions, closing the loop between production evidence and agent updates.
The platform provides trace inspection with inputs, outputs, latency, and cost; detectors, datasets, evals, dashboards, signals, and alerts; and an agent-native CLI that gives coding agents read and write access to these resources. Native SDKs are available for Python and JavaScript/TypeScript, with OpenTelemetry compatibility and integrations for frameworks including LangGraph, Vercel AI SDK, Mastra, CrewAI, Agno, Google ADK, and Pydantic AI, plus model providers such as OpenAI, Anthropic, Google Gemini, Mistral, DeepSeek, LiteLLM, and OpenRouter. TraceRoot can be used as TraceRoot Cloud or self-hosted with Docker.
It is aimed at teams building and operating AI agents, from individuals to scaling organizations. A free plan is available with no credit card required, including BYOK or hosted LLM options. Paid tiers include Starter, Pro, and Enterprise editions, with seat-based and usage-based elements such as included events, chat runs, RCA runs, detector runs, retention windows, and overage rates.
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