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AgentOps

Trace, debug and cost-track your AI agents in production.

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Coding & WebOpen SourceWe checked the prices on agentops.ai on 27 Sep 2026.

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What is AgentOps?

Trace, debug and cost-track your AI agents in production.

Who is AgentOps best for?

AgentOps is best for developers running AI agents in production who need to trace calls and replay failed runs.

  • Debugging agents in production

    Time-travel replays rewind a run step by step, so you can see which LLM call or tool call sent an agent off course.

  • Watching LLM spend

    It counts every token and prices it across 400+ models, so you can see what each agent costs to run.

  • Teams on popular agent frameworks

    The SDK hooks into CrewAI, AutoGen, LangChain, the OpenAI Agents SDK and many others with a couple of lines of code.

  • Companies with strict data rules

    Enterprise adds self-hosting, on-premise deployment, SSO and support for SOC 2, HIPAA and NIST AI RMF requirements.

How much does AgentOps cost?

AgentOps is free on the Basic plan for up to 5,000 events, and Pro starts at $40 per seat per month plus usage, with the first 100,000 span uploads a month included.

Basic$0Per month
  • Up to 5,000 events
  • SDK for any agent framework
  • LLM cost tracking for 400+ models and session replays
ProFrom $40Per seat per month
  • Unlimited events and log retention
  • Session and event export, role-based permissions
  • Dedicated Slack and email support

Pro is pay as you go on top of the $40 seat price: the first 100,000 span uploads a month are free, then $0.10 per 1,000 spans, and LLM tokens cost $0.20 per million. Enterprise is priced on request and adds an SLA, custom SSO, custom data retention, on-premise deployment and self-hosting on AWS, GCP or Azure. Full pricing on agentops.ai. We checked these prices on .

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Is AgentOps open source?

Yes. AgentOps's code is public under the MIT licence, so you can read it, change it and run it yourself.

On GitHub

5,952stars

Last commit
25 Jun
Repository age
3 years
Latest release
29 Aug 2025
Licence
MIT
Run it yourselfThe code and the steps to set it up are in its repository on GitHub.View on GitHub

What are the best AgentOps alternatives?

AgentOps is an open source alternative to Pydantic Logfire, Splunk Agent Observability and Lunary. Langfuse, Helicone and Laminar do the same job and are open source too.

Questions about AgentOps

What is AgentOps?

Trace, debug and cost-track your AI agents in production.

Who is AgentOps for?

AgentOps is best for developers running AI agents in production who need to trace calls and replay failed runs.

Is AgentOps free?

Yes. AgentOps has a free Basic plan: up to 5,000 events.

How much does AgentOps cost?

AgentOps's paid plans are Pro at From $40 per seat per month.

Is AgentOps open source?

Yes. AgentOps's code is public under the MIT licence, so you can read it, change it and run it yourself.

What are the best AgentOps alternatives?

The closest alternatives on Recaply are Pydantic Logfire, Splunk Agent Observability, Lunary, Langfuse, Helicone and Laminar.

Where can I try AgentOps?

On its official website, agentops.ai.

Can I self-host AgentOps?

Yes. AgentOps documents how to run the whole platform, including the API server, dashboard and databases, on your own servers, and its Python SDK is open source under the MIT license. Self-hosting on AWS, GCP or Azure with support is part of the Enterprise plan.