AgentOps

Free plan Open source APISelf-hostedWeb

What AgentOps is

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

Who it suits

It suits engineers building and scaling AI agents who need tracing, replay, cost tracking, or session dashboards. Teams can use the web service, API, or a self-hosted deployment.

What it does well

Tracing covers LLM, agent, and retrieval activity
Replay runs for debugging
Tracks costs across 400-plus LLMs
Python and TypeScript/JavaScript SDKs
Free Basic plan up to 5,000 events

What to know first

Pro costs $40 a month
Enterprise pricing is custom
Free Basic plan limits events to 5,000
Recorded data includes logs and prompt-injection attacks

Plans

Plan	Billed and limits	Price
Basic	per month · Free up to 5,000 events · Agent-agnostic SDK · Cost tracking for 400+ LLMs · Replay analytics	Free
Pro	starts at $40 per month · Unlimited events · Unlimited log retention · Session and event export · Dedicated Slack and email support · Role-based permissions	$40 a month
Enterprise	Custom · SLA · Slack Connect · Custom SSO · On-premise deployment · Custom retention · AWS/GCP/Azure self-hosting · SOC 2, HIPAA and NIST AI RMF	On request

As agentops.ai lists them, read 15 Oct 2026. The maker's own page has the final word.

Verdict

AgentOps brings tracing, replay, audit trails, and cost monitoring together for agent applications, with broad framework and provider integrations. Its free tier is limited by events, while higher plans add expanded limits, support, and enterprise deployment options.

Facts from AgentOps's own pages

Audit trail: AgentOps records logs, errors and prompt-injection attacks across development and production. · agentops.ai, 15 Oct 2026
Company identity: Crunchbase lists the legal company name as Staf, Inc., also known as Agency AI and AgentOps.ai. · crunchbase.com, 15 Oct 2026
Company location: LinkedIn lists Agency headquarters at 525 Market Street, San Francisco, California. · linkedin.com, 15 Oct 2026
Company size: LinkedIn lists Agency as a privately held software-development company with 11–50 employees. · linkedin.com, 15 Oct 2026
Cost monitoring: The service monitors agent spending using current model-price data. · agentops.ai, 15 Oct 2026
Cost tracking: The site says AgentOps tracks token counts and agent spend, with price monitoring across 400+ LLMs. · agentops.ai, 7 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. · docs.agentops.ai, 7 Oct 2026
Dashboard modules: The live dashboard exposes projects, traces, metrics, MCP, Deploy Alpha, patch notes, support and documentation links. · app.agentops.ai, 15 Oct 2026
Documentation: Documentation includes quickstarts, integration guides, examples and self-hosting instructions. · github.com, 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. · techcrunch.com, 15 Oct 2026
Enterprise security: The homepage lists SOC-2, HIPAA, and NIST AI RMF among Enterprise plan offerings. · agentops.ai, 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. · agentops.ai, 15 Oct 2026
Founded: LinkedIn and G2 list the company as founded in 2023. · linkedin.com, 15 Oct 2026
Framework integrations: The SDK integrates with CrewAI, AG2/AutoGen, Agno, LangGraph, OpenAI Agents SDK and other agent frameworks. · github.com, 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. · techcrunch.com, 15 Oct 2026
G2 review availability: G2 says there are too few AgentOps reviews to provide buying insight. · g2.com, 15 Oct 2026
Headquarters: Delray Beach, Florida, United States · agentops.ai, 28 Sept 2026
Independent product assessment: OpenClaw describes AgentOps as a practical observability layer for Python-heavy teams needing structured traces, replayability and cost-aware debugging. · openclawhub.tools, 15 Oct 2026
Installation: The homepage gives `pip install agentops` as the installation command. · agentops.ai, 7 Oct 2026
Instrumentation controls: Developers can use decorators and manual traces to define sessions, agents, operations, tasks and workflows. · github.com, 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. · agentops.ai, 7 Oct 2026
Licence: The AgentOps application and repository are released under the MIT licence. · github.com, 15 Oct 2026
Limit: instrumentation complexity: The review cautions that unclear boundaries or excessive decorators and tags can make traces noisy. · openclawhub.tools, 15 Oct 2026
Limit: scope: The independent review says AgentOps is not an orchestration, model-serving, no-code, vector-database or retrieval platform. · openclawhub.tools, 15 Oct 2026