
AgentOps
Claim this toolMonitor, evaluate, and improve your AI agents with comprehensive observability.
Visit WebsiteThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Time-travel debugging is genuinely unique for agent development
Biggest con
Paid plans may be steep for solo developers
TL;DR - AgentOps
- Observability platform for AI agents with time-travel debugging
- Tracks LLM calls, token costs, and multi-agent interactions
- Free tier with 5K events/month, paid tiers available
What is AgentOps?
Available on: Web
Pros & Cons
Pros
- Time-travel debugging is genuinely unique for agent development
- Supports a wide range of models with framework-agnostic SDK
- Free tier with 5,000 events covers hobby and early-stage use
- Comprehensive audit trails meet enterprise compliance needs
- Clean dashboard with intuitive event visualization
Cons
- Paid plans may be steep for solo developers
- Enterprise features like SSO and on-prem require custom pricing
- Agent observability is a nascent category, tooling evolves fast
- Documentation could be more comprehensive for advanced use cases
Preview
Key Features
Pricing
AgentOps offers a generous free tier with optional paid upgrades for advanced features.
Is AgentOps worth the price?
The pricing for AgentOps is quite generous, especially with a free tier offering 5,000 events/month, which is suitable for many small projects.
The Pro plan at $40/month for unlimited events and full log retention offers excellent value for growing AI agent development. This structure is best for individual developers and small to medium-sized teams focused on AI agent observability.
Hidden Costs & Gotchas
No explicit overage for Basic plan
Reviews

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AgentOps FAQ
How does AgentOps support debugging of AI agents?
Which teams benefit most from using AgentOps?
How is AgentOps priced?
Can AgentOps track token costs for LLM applications?
How does AgentOps compare to LangSmith for AI agent development?
What kind of limitations should users be aware of with AgentOps?
Does AgentOps integrate with a wide range of AI models?
Source: agentops.ai