What is AgentOps?
Building and deploying AI agents can be complex. You need tools that simplify testing, debugging, and monitoring without sacrificing precision or scalability. That’s where AgentOps comes in—a developer-first platform designed to help you test, debug, and deploy AI agents with ease. Whether you're working with 400+ LLMs, multi-agent frameworks, or custom tools, AgentOps provides the observability and control you need to build reliable agents faster.
With just two lines of code, you gain access to powerful features like session replays, cost tracking, and time-travel debugging—all within an intuitive dashboard. Trusted by thousands of engineers at companies like Microsoft, Google, and IBM, AgentOps is your go-to solution for building enterprise-grade AI agents.
Key Features
✨ Visualize Agent Behavior
Track every step of your agent’s execution—LLM calls, tool usage, errors, and more—in a detailed timeline view. Understand what happened, when it happened, and why.
Benefit: Gain complete transparency into your agent’s actions, making debugging faster and deployments smoother.
🔍 Time-Travel Debugging
Rewind and replay sessions with pinpoint accuracy. Inspect prompts, completions, and timestamps to identify issues quickly.
Benefit: Save hours of troubleshooting by isolating problems in seconds.
📊 Cost Tracking Across Models
Monitor spending on GPT-4, Anthropic, and other models in real-time. Break down costs by tokens, prompts, and completions.
Benefit: Optimize budgets and avoid unexpected expenses while scaling your projects.
🛠️ Fine-Tuning Made Affordable
Leverage saved completions to fine-tune specialized LLMs up to 25x cheaper than traditional methods.
Benefit: Improve model performance without breaking the bank.
🔒 Enterprise-Grade Security
Compliance-ready features like SOC-2, HIPAA, and NIST AI RMF ensure your data stays protected. Self-hosting options are available for added control.
Benefit: Meet regulatory requirements and maintain trust with clients.
Use Cases
Debugging Complex Multi-Agent Systems
Imagine managing a fleet of AI agents collaborating on research tasks. With AgentOps, you can visualize interactions between agents, track tool usage, and pinpoint errors in seconds. For example, if one agent fails to update a database, you can trace the issue back to its root cause using the Session Waterfall feature.Optimizing Costs for Large-Scale Deployments
A startup deploying customer service bots powered by GPT-4 needs to keep costs under control. Using AgentOps’ cost tracking, they monitor token usage and adjust prompts to reduce unnecessary completions, cutting monthly expenses by 30%.Scaling Enterprise Solutions Securely
A financial institution builds AI agents to analyze market trends. With AgentOps’ role-based permissioning and custom SSO integration, they ensure only authorized personnel access sensitive data, meeting strict compliance standards.
Conclusion
AgentOps empowers developers to build, test, and deploy AI agents with confidence. From startups to Fortune 500 companies, teams rely on AgentOps to streamline workflows, optimize costs, and achieve enterprise-grade reliability. Start for free today and see how AgentOps transforms your AI development process.
More information on AgentOps
Launched
2023-7
Pricing Model
Freemium
Starting Price
$40/mo
Global Rank
607968
Follow
Month Visit
49.6K
Tech used
Next.js,Vercel,Gzip,OpenGraph,Webpack,HSTS
Top 5 Countries
26.28%
9.97%
8.75%
6.23%
5.19%
United States
India
Vietnam
Brazil
Hong Kong
Traffic Sources
5.75%
0.87%
0.09%
8.32%
41.56%
43.33%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 24, 2025)
AgentOps was manually vetted by our editorial team and was first featured on 2024-01-18.
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