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AgentOps

AgentOps is a developer platform for building AI agents and LLM applications.

Place
#7 of 31
Score
7.8
AgentOps's website

What AgentOps is

AgentOps is a developer platform for building AI agents and LLM applications. It provides observability for OpenAI, CrewAI, AutoGen, and more than 400 LLMs and frameworks, including LLM, agent, and retrieval tracing. Users can view calls, tools, and multi-agent activity, then rewind and replay runs for debugging. The platform records logs, errors, and prompt-injection attacks, while tracking token counts and agent spending across supported models. AgentOps supports Python and TypeScript/JavaScript applications, with integrations for frameworks such as LangChain, Google ADK, and OpenAI Agents, plus providers including Anthropic, OpenAI, and xAI. Recorded executions appear in dashboard sessions with summaries and waterfall views. It is available through the web, API, or self-hosting. Basic is free for up to 5,000 events; Pro costs $40 a month, billed Pay as you go.

Good

  • Tracing for LLMs, agents, and retrieval
  • Replay and rewind debugging
  • Tracks token costs across 400+ LLMs
  • Python and TypeScript/JavaScript SDKs
  • Free plan up to 5,000 events

Watch out

  • Enterprise pricing is custom
  • Free Basic plan limits events
  • Requires developer integration

Who it suits

It suits engineers building and scaling AI agents who need tracing, replay debugging, cost monitoring, and execution records. Teams can use web access, an API, or self-hosting.

Verdict

AgentOps brings tracing, replay, audit records, and cost visibility to AI-agent development. Its free Basic tier supports limited event volume, while Pro and Enterprise add broader limits, support, permissions, and deployment options.

Plans and prices

From AgentOps's own pricing page, checked 15 Oct 2026.

All about pricing
PlanPriceWhat it gives you
BasicFreeFree up to 5,000 events · Agent-agnostic SDK · Cost tracking for 400+ LLMs · Replay analytics · per month
Pro$40 a monthUnlimited events · Unlimited log retention · Session and event export · Dedicated Slack and email support · Role-based permissions · starts at $40 per month
EnterprisePriced on requestSLA · Slack Connect · Custom SSO · On-premise deployment · Custom retention · AWS/GCP/Azure self-hosting · SOC 2, HIPAA and NIST AI RMF · Custom

The facts

Each one read from AgentOps's own pages, with the date it was checked.

What it does

Audit trail
AgentOps records logs, errors and prompt-injection attacks across development and production.checked 15 Oct 2026
Dashboard
The documentation says recorded program executions appear as sessions in the AgentOps Dashboard, with session summaries and a waterfall view of calls, tools, and errors.checked 7 Oct 2026
Dashboard modules
The live dashboard exposes projects, traces, metrics, MCP, Deploy Alpha, patch notes, support and documentation links.checked 15 Oct 2026
Documentation
Documentation includes quickstarts, integration guides, examples and self-hosting instructions.checked 15 Oct 2026
Early reliability problem
TechCrunch reported that the founders' initial agents failed 30–40% of the time, motivating the debugging tools that became AgentOps.checked 15 Oct 2026
Enterprise security
The homepage lists SOC-2, HIPAA, and NIST AI RMF among Enterprise plan offerings.checked 7 Oct 2026
Fine-tuning
Saved completions can be used to fine-tune specialized models at a claimed cost reduction of up to 25 times.checked 15 Oct 2026
Framework integrations
The SDK integrates with CrewAI, AG2/AutoGen, Agno, LangGraph, OpenAI Agents SDK and other agent frameworks.checked 15 Oct 2026
Funding news
TechCrunch reported on August 28, 2024 that Agency had raised $2.6 million in pre-seed funding led by 645 Ventures and Afore Capital.checked 15 Oct 2026
G2 review availability
G2 says there are too few AgentOps reviews to provide buying insight.checked 15 Oct 2026
Independent product assessment
OpenClaw describes AgentOps as a practical observability layer for Python-heavy teams needing structured traces, replayability and cost-aware debugging.checked 15 Oct 2026
Installation
The homepage gives `pip install agentops` as the installation command.checked 7 Oct 2026
Instrumentation controls
Developers can use decorators and manual traces to define sessions, agents, operations, tasks and workflows.checked 15 Oct 2026
Intended users
The site presents AgentOps for engineers building AI agents and offers help to teams building and scaling enterprise-grade agents.checked 7 Oct 2026
Licence
The AgentOps application and repository are released under the MIT licence.checked 15 Oct 2026
Limit: instrumentation complexity
The review cautions that unclear boundaries or excessive decorators and tags can make traces noisy.checked 15 Oct 2026
Limit: scope
The independent review says AgentOps is not an orchestration, model-serving, no-code, vector-database or retrieval platform.checked 15 Oct 2026

The company

Company identity
Crunchbase lists the legal company name as Staf, Inc., also known as Agency AI and AgentOps.ai.checked 15 Oct 2026
Company location
LinkedIn lists Agency headquarters at 525 Market Street, San Francisco, California.checked 15 Oct 2026
Company size
LinkedIn lists Agency as a privately held software-development company with 11–50 employees.checked 15 Oct 2026
Founded
LinkedIn and G2 list the company as founded in 2023.checked 15 Oct 2026
Headquarters
Delray Beach, Florida, United Stateschecked 28 Sep 2026

Money

Cost monitoring
The service monitors agent spending using current model-price data.checked 15 Oct 2026
Cost tracking
The site says AgentOps tracks token counts and agent spend, with price monitoring across 400+ LLMs.checked 7 Oct 2026

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