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AgentOps AIDeveloper platform for testing, monitoring, and debugging AI agents in production.

4.3 (6)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

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Overview

AgentOps AI is a developer platform designed for testing, monitoring, and debugging AI agents in production. It provides a comprehensive suite of tools to help engineers build reliable agents. The platform offers a range of features, including event visualization, time travel debugging, and audit capabilities. It allows users to track events such as LLM calls, tools, and multi-agent interactions, as well as monitor spending and token counts across multiple agents. AgentOps AI provides native integrations with top agent frameworks and offers a single SDK for multiple integrations. The platform also supports fine-tuning of specialized LLMs at a lower cost. The platform offers a free plan to get started, with paid plans starting at $40 per month. The paid plans offer additional features such as unlimited event limits, unlimited log retention, and dedicated support. Overall, AgentOps AI aims to help developers build and deploy reliable AI agents in production, with a focus on monitoring, debugging, and optimizing agent performance.

Key features

  • Session replay and trace analytics
  • Agent testing and simulation
  • Cost and token tracking
  • SDK integrations with agent frameworks
  • Error and regression detection
  • Production monitoring dashboards

Pricing

Model
Freemium
Rating
4.3 / 5 (6)

Use cases

Debug Agent Failures in Production

Replay agent sessions and inspect traces of tool calls, prompts, and errors to pinpoint why an agent misbehaved and fix issues quickly.

Catch Regressions Before Deployment

Run simulations and benchmark changes against previous agent versions to detect regressions before pushing updates to users.

Track LLM Costs and Token Usage

Monitor token consumption and spending across agent runs to optimize prompts, control costs, and forecast budgets accurately.

Monitor Live Agent Performance

Use production dashboards to track agent health, error rates, and behavior in real time across deployed LLM-powered applications.

Pros & Cons

Pros

  • Detailed session replay and trace visibility
  • Works with major agent frameworks
  • Combines monitoring with evaluation tooling
  • Helps track cost and token usage

Cons

  • Geared toward developers, not non-technical users
  • Requires instrumentation of agent code
  • Most useful for teams already running agents in production

Reviews

4.3

Average from 6 ratings.

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Margaret Whitfield

May 16, 2026

Does the job

Pretty happy overall. Cost and token tracking just works and detailed session replay and trace visibility. Geared toward developers, not non-technical users can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

D

Diego Fernández

May 15, 2026

Does the job

Pretty happy overall. Error and regression detection just works and works with major agent frameworks. Geared toward developers, not non-technical users can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

S

Sofia Lindqvist

Feb 12, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: session replay and trace analytics and combines monitoring with evaluation tooling. Where it lags: geared toward developers, not non-technical users. On balance the feature set — especially session replay and trace analytics — justifies the 4 stars for our use case.

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Rina Desai

Dec 8, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is agent testing and simulation — handled better than most — and detailed session replay and trace visibility. Worth the time if this is your use case.

C

Camille Laurent

Sep 16, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on error and regression detection, and detailed session replay and trace visibility caught me off guard. still, I'd recommend giving it a real trial.

O

Omar Haddad

Jun 13, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on production monitoring dashboards, and works with major agent frameworks caught me off guard. Requires instrumentation of agent code is why this isn't a perfect score, still, I'd recommend giving it a real trial.

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