Alternatives to AgentOps

LangSmith is agent and LLM observability from the LangChain team: trace, monitor, evaluate, and deploy AI agents.

Braintrust traces agent runs, scores them with evals, and surfaces production failure patterns before they ship.

Athina is a shared workspace where your team writes prompts, runs evals, annotates datasets, and traces LLM calls in production.

Open-source Python framework that traces every AI agent span and scores runs with benchmarked, explainable LLM judges.

Open-source LLM observability: trace agents, manage prompts, and run evals on one MIT-licensed platform.

Open-source LLM observability and agent evaluation you can trace, self-host, and eval end to end.

Comet's Opik brings LLM observability and evaluation that turns agent traces into code fixes

Goodfire's Silico is an AI interpretability agent for reverse-engineering, debugging, and steering model internals.

Raindrop traces, detects, and simulates fixes for silent AI agent failures in production before they reach your users.

Chronicle Labs replays your production data to test and validate AI agents before launch.

Interactive timeline visualization for Harmony and Codex CLI agent logs

OpenJudge is an Apache 2.0 open-source AI evaluation framework shipping 50+ benchmark-validated graders for agents, LLMs, code, math, and multimodal models.

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

Maxim AI simulates, evaluates and observes AI agents — with Bifrost, its open-source LLM gateway, for routing and guardrails.

Fiddler AI is an enterprise control plane for agent observability, inline guardrails, and auditable AI governance.

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

Open-source AI agent improvement: trace production runs, detect failures, investigate signals, verify fixes with evals.

Galileo turns offline AI evals into production guardrails for agents and RAG pipelines.

Laminar delivers open-source AI agent observability that auto-captures every LLM and tool call and surfaces failures with Signals.

Retrace records every AI agent run, forks the failing step, and replays it to prove your fix before you ship.

Cekura tests, monitors, and self-improves voice AI agents with automated QA loops.

Conan is a native macOS HUD for Claude Code that streams every prompt, tool call, skill and token live as the session runs.

Open-source Python library that turns vibe checks into reproducible evaluation loops for RAG pipelines and AI agents.

Edgee Team token observability puts every coding agent on a budget you set, with per-repo and per-PR attribution.

Local, MIT-licensed token usage and cost tracking for AI coding agents — reads the logs your agents already write.

Weights & Biases tracks ML experiments, versions models and datasets, and traces LLM apps — now inside CoreWeave Forge

Agnost AI monitors production AI agents, clusters silent failures, and opens a fix for review.

Estimate and track the carbon footprint and energy use of GenAI inference calls with EcoLogits.

Sharbo builds a skill network for AI agents — encode expert workflows once and let every agent activate them autonomously.

Time-travel debugger for multi-agent AI pipelines