Engineers debugging agents get step-by-step replays and cost tracking free up to 5,000 events, and the open-source app can be self-hosted.

Kenning's take

What it does

AgentOps is an observability tool for developers building AI agents and LLM apps. After adding its SDK, it records each LLM call, tool use and multi-agent interaction so developers can replay runs step by step, track token use and cost across 400+ models, and keep a log of errors and prompt injection attempts. It integrates with frameworks such as OpenAI Agents SDK, CrewAI, AutoGen and LangGraph, and the app is open source and can be self-hosted.

  • Session replay and time-travel debugging
  • LLM cost and token tracking across 400+ models
  • Integrations with CrewAI, AutoGen, LangGraph and OpenAI Agents SDK
  • Python and TypeScript SDKs
  • Open-source app with self-hosting option

Who it suits. Engineers building and running AI agents who need to see why an agent failed and what it is costing.

Key facts

Made by
Agency (AgentOps)
How to get it
sign up free on the website and install the SDK (pip install agentops); Enterprise via demo
Works on
Web, Python, TypeScript
In the UK
Yes
Free plan
Basic: free up to 5,000 events

Pricing

PlanPriceBilled
Basic$0month
Pro$from 40month
EnterpriseCustom pricing n/an/a

source

FAQ

Is AgentOps free?

Yes, the Basic plan is free up to 5,000 events. Pro starts at $40 a month.

Is AgentOps open source?

Its documentation says the AgentOps app is open source, and it can be self-hosted.

Which frameworks does AgentOps work with?

It has integrations for OpenAI Agents SDK, CrewAI, AutoGen, LangChain, LangGraph, LlamaIndex and others.

Facts from the maker's own pages and the sources listed. Checked 2026-10-11.