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Find the right AI tool in 2 minutes. Independent reviews and honest comparisons of 770+ AI tools.

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  4. AgentOps
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OverviewPricingReviewWorth It?Free vs PaidDiscount

AgentOps Review 2026

Honest pros, cons, and verdict on this ai developer tool

✅ Session replay with step-by-step execution graphs pinpoints exactly where and why an agent failed

Starting Price

Free

Free Tier

Yes

Category

AI Developer Tools

Skill Level

Developer

What is AgentOps?

Open-source observability platform for AI agents. Track LLM calls, tool usage, and multi-agent interactions with session replay debugging. Monitors costs across 400+ LLMs. Self-hostable under MIT license. Free tier available; Pro at $40/month.

AgentOps: See What Your AI Agents Actually Do (And What They Cost)

Your AI agent failed. Was it the prompt? A bad tool call? A hallucinated step in a 12-step chain? Standard logging gives you a wall of text. AgentOps gives you a visual timeline of every decision, every LLM call, and every tool interaction your agent made. Then it lets you rewind to any point and replay the sequence. That's the core pitch, and it works.

Key Features

✓Step-by-step agent execution graphs with session replay
✓LLM cost tracking across 400+ models and providers
✓Native framework integrations (CrewAI, AG2, Agno, OpenAI Agents SDK, LangChain, LangGraph, CamelAI)
✓Python SDK with decorator-based instrumentation (@session, @agent, @operation)
✓Open-source under MIT license with self-hosting support
✓MCP (Model Context Protocol) server for tool integration

Pricing Breakdown

Basic

Free
  • ✓5,000 events
  • ✓Agent-agnostic Python SDK
  • ✓LLM cost tracking (400+ LLMs)
  • ✓Replay analytics

Pro

From $40/month

per month

  • ✓Unlimited events (pay-as-you-go)
  • ✓Unlimited log retention
  • ✓Session and event data export
  • ✓Dedicated Slack and email support
  • ✓RBAC

Enterprise

Custom

per month

  • ✓SLA guarantees
  • ✓Custom SSO
  • ✓On-premise deployment (AWS, GCP, Azure)
  • ✓Custom data retention
  • ✓SOC-2, HIPAA, NIST AI RMF compliance

Pros & Cons

✅Pros

  • •Session replay with step-by-step execution graphs pinpoints exactly where and why an agent failed
  • •LLM cost tracking across 400+ models and providers shows per-call, per-agent, and per-workflow spending
  • •Framework-agnostic SDK with native integrations for CrewAI, AG2, Agno, OpenAI Agents SDK, LangChain, LangGraph, and CamelAI
  • •Fully open-source under MIT license with self-hosting on AWS, GCP, or Azure for data sovereignty
  • •Minimal instrumentation required — two lines of code to get started with basic tracking
  • •Debug and audit trail catches errors, logs, and prompt injection attacks from prototype to production

❌Cons

  • •Python SDK only — no official JavaScript/TypeScript, Go, or other language clients available yet
  • •Free tier limited to 5,000 events, which multi-agent workflows can burn through quickly in development
  • •Pro plan jump from free to $40/month may be steep for individual developers doing side projects
  • •Self-hosted deployment requires managing both the dashboard frontend and API backend separately
  • •Newer platform with a smaller community and fewer third-party resources compared to established APM tools like Datadog

Who Should Use AgentOps?

  • ✓Multi-Agent System Debugging
  • ✓LLM Cost Optimization
  • ✓Self-Hosted Agent Monitoring
  • ✓Production Agent Auditing

Who Should Skip AgentOps?

  • ×You're concerned about python sdk only — no official javascript/typescript, go, or other language clients available yet
  • ×You need advanced features
  • ×You're concerned about pro plan jump from free to $40/month may be steep for individual developers doing side projects

Alternatives to Consider

LangSmith

Tracing, evaluation, and observability for LLM apps and agents.

Starting at Free

Learn more →

Helicone

API gateway and observability layer for LLM usage analytics. This analytics & monitoring provides comprehensive solutions for businesses looking to optimize their operations.

Starting at Free

Learn more →

Langfuse

Open-source LLM engineering platform for traces, prompts, and metrics.

Starting at Free

Learn more →

Our Verdict

✅

AgentOps is a solid choice

AgentOps delivers on its promises as a ai developer tool. While it has some limitations, the benefits outweigh the drawbacks for most users in its target market.

Try AgentOps →Compare Alternatives →

Frequently Asked Questions

What is AgentOps?

Open-source observability platform for AI agents. Track LLM calls, tool usage, and multi-agent interactions with session replay debugging. Monitors costs across 400+ LLMs. Self-hostable under MIT license. Free tier available; Pro at $40/month.

Is AgentOps good?

Yes, AgentOps is good for ai developer work. Users particularly appreciate session replay with step-by-step execution graphs pinpoints exactly where and why an agent failed. However, keep in mind python sdk only — no official javascript/typescript, go, or other language clients available yet.

Is AgentOps free?

Yes, AgentOps offers a free tier. However, premium features unlock additional functionality for professional users.

Who should use AgentOps?

AgentOps is best for Multi-Agent System Debugging and LLM Cost Optimization. It's particularly useful for ai developer professionals who need step-by-step agent execution graphs with session replay.

What are the best AgentOps alternatives?

Popular AgentOps alternatives include LangSmith, Helicone, Langfuse. Each has different strengths, so compare features and pricing to find the best fit.

📖 AgentOps Overview💰 AgentOps Pricing🆚 Free vs Paid🤔 Is it Worth It?

Last verified March 2026