Alternatives to AgentOps

AI observability and evals that turn agent traces into git-committed code fixes

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

Open-source AI evaluation and observability for LLMs, RAG, agents, and predictive ML models.

Open-source LLM observability and evals for building reliable agents

OpenTelemetry-native observability with AI SRE Agent0 for automated production insight.

LangSmith is an AI agent observability platform for tracing, monitoring, and evaluating LLM apps and long-running agents.

Open-source LLM observability for tracing, evaluating, and optimizing AI agents.

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

Open-source AI observability for agent tracing, LLM-as-a-judge evals, and coding agent cost tracking

Active observability for AI agents — trace, evaluate, and discover patterns.

Helicone is an AI gateway and LLM observability platform for routing, debugging, and cost-tracking AI apps across 100+ models.

AI agent observability that detects and auto-fixes silent failures in production.

Free, MIT-licensed local dashboard that reads your AI coding agents' log files to show tokens, cost, and traces — no SDK or API key.

Give your AI agent an isolated virtual machine with its own kernel across Linux, Windows, macOS, iOS, and Android.

Open-source agent observability that catches failures and helps fix them.

Self-hosted AI agent platform with live observability for regulated enterprises

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

AI observability and evaluation platform that turns offline evals into production guardrails.

Open-source OpenTelemetry observability for Python LLM apps

Enterprise LLM evaluation, observability, and red teaming in one platform.

Open-source, OpenTelemetry-native agent evaluation and tracing that finds where your agent fails.

Open source platform to debug, evaluate, monitor, and optimize AI agents and ML models.

Track, forecast, and optimize AI spend across OpenAI, Google AI, Azure, and Bedrock.

Open-source AI observability via whylogs and langkit for privacy-preserving logging and LLM monitoring

Open-source workspace to build, evaluate, and deploy AI agents through chat

Maxim AI simulates, evaluates, and observes AI agents so teams can ship reliable agents 5x faster.

Mem0 is an AI memory layer that gives agents and apps persistent, cross-session context

Weights & Biases tracks ML experiments and traces LLM apps so teams can ship AI models faster

Open-source framework to replace vibe checks with reproducible, LLM-driven evaluation loops for RAG and agents.

Granica cuts data lake storage and processing costs and keeps long-running AI agents from losing their place.