Alternatives to Metoro

AI-native incident response that finds production root causes, cuts alert noise, and opens fix PRs — deployable on-prem or in your cloud.

AI SRE platform for Kubernetes that investigates production incidents with multi-agent AI and auto-generates fix pull requests.

OpenTelemetry-native observability with an AI SRE that investigates incidents and opens fix PRs.

Opik, Comet's open-source LLM observability and eval platform, turns agent traces into root-cause groupings and git-committed code fixes

Raindrop is agent observability that finds silent failures in production AI agents, investigates the root cause, and simulates the fix before you merge.

Open-source, OpenTelemetry-native observability for AI agents that catches failures automatically and helps you fix them.

Sazabi is AI-native observability: it replaces dashboards with chat debugging, autonomous alerts, and coding agents that open fix PRs.

AI SRE agent that investigates production alerts and posts evidence-backed root causes in Slack within minutes.

Adps AI is an AI-native SRE platform that autonomously detects, diagnoses, and resolves cloud, Kubernetes, and CI/CD incidents.

Arize Phoenix is open-source LLM observability: trace every agent step, run evals, and self-host the whole thing.

Agent and LLM observability from the LangChain team: trace, monitor, and evaluate agents in production, cloud, BYOC, or self-hosted.

Open-source LLM observability, prompt management, and evaluation for teams running AI agents in production.

Open-source, OpenTelemetry-native evaluation and tracing that shows exactly where your AI agent fails — and where you can cut cost.

Fiddler AI is an enterprise AI control plane for agent observability, guardrails, and governance across the agentic lifecycle.

AI observability and eval engineering platform that turns offline evals into live production guardrails for agents and RAG systems.

Developer observability platform that traces, replays, and debugs AI agent runs across OpenAI, CrewAI, Autogen and 400+ LLMs

Agent observability that traces every AI run, scores quality with evals, and surfaces production patterns you didn't know to look for.

Cleric is an AI SRE agent that follows every production change for up to 14 days, catches regressions, and opens the fix PR for your review.

Interfere is AI production monitoring that finds bugs, explains root causes, and suggests fixes before users report them.

Open-source LLM observability, prompt management, and agent evals in one MIT-licensed platform.

Local, MIT-licensed token and cost observability for AI coding agents — no SDK, no signup, nothing leaves your machine.

Open-source tracing, evaluation, and prompt iteration for AI agents — self-host it on your own infrastructure with no per-span bill.

AI SRE platform that holds the pager — agents triage alerts, investigate incidents, and run production tasks on your behalf

Silico is Goodfire's interpretability agent for understanding, debugging, and controlling the internals of your AI models

AI observability and eval-engineering platform that turns offline evals into live production guardrails.

Open source AI engineering platform for agent and LLM tracing, evaluation, prompt management, and ML lifecycle work.

Open-source workspace for building, evaluating, and deploying AI agents you talk to in Slack, Telegram, or a browser chat

Maxim AI simulates, evaluates, and observes AI agents in one workspace, with an open-source gateway (Bifrost) for routing and governance.

Open-source Python framework that replaces vibe checks with reproducible evaluation loops for RAG pipelines and AI agents.

Open-source Python framework for evaluating and monitoring LLMs, RAG apps, AI agents, and predictive ML models.