AgentOps

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Overview

A developer platform for testing and debugging AI agents, offering tools for monitoring, cost tracking, and performance evaluation.

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Best For Professions:

AI developers machine learning engineers software developers data scientists software engineers

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AgentOps is a developer platform designed to facilitate the testing, debugging, and monitoring of AI agents. It provides comprehensive tools for session replay analytics, LLM cost management, and agent benchmarking. With native integrations for frameworks like CrewAI, AutoGen, and LangChain, AgentOps enables developers to build reliable AI agents from prototype to production. The platform offers features such as visual event tracking, time travel debugging, and detailed cost tracking across multiple agents, enhancing the efficiency and reliability of AI agent development.

Autonomy level

28%

Reasoning: AgentOps functions primarily as an observability and monitoring platform rather than an autonomous agent. Its core purpose is to track, debug, and optimize AI agents built with frameworks like AutoGen or CrewAI through features like session replays, LLM cost tracking, and recursive loop detection. While it automates data collection and provides rea...

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Some of the use cases of AgentOps:

Monitoring and debugging AI agent performance.
Tracking and managing costs associated with large language model usage.
Benchmarking AI agents against a wide range of evaluations.
Integrating with popular AI frameworks for seamless development.

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Pricing model:

paid

Code access:

closed-source

Popularity level: 83%

Make it work for you

Describe the job. Get an AI worker you can actually message.

We create the setup, keep it running after your laptop closes, and save its memory. Test in the browser, then add Telegram, WhatsApp, or Slack.

Runs without your laptopBrowser + messaging appsBackups and clonesMemory survives restarts

Describe my agent See the launcher

Plans start at $29/month. Cancel anytime.

Hosted agent

OpenClaw or Hermes

saved state

Browser

Slack

“I checked the inbox, handled the routine messages, and sent you the one question that needs a decision.”

Create an AI worker that keeps running after this tab closes.

Open Agent Factory

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