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AgentOps is a monitoring and debugging platform designed specifically for AI agents. Built by a team of engineers focused on agent reliability, it solves the problem of observability in complex multi-agent systems. The core capabilities include visual event tracking, time travel debugging, and full audit trails for LLM calls, tools, and agent interactions. It supports native integrations with top agent frameworks and provides cost tracking, token monitoring, and fine-tuning capabilities. AgentOps is ideal for developers and teams building production-grade agents who need to debug, audit, and optimize their agent workflows. The platform offers a free tier to get started and scales to enterprise needs with advanced features like role-based permissions and custom data retention.
4.5/5
High, consistent, and on-brand
Clean and minimal
Monitor, debug, and optimize AI agent performance in production.
Integrates with major agent frameworks and supports Python SDK.
Freemium with paid tiers
Features with the highest value for users are highlighted here.
Visual event tracking for LLM calls and tools
Time travel debugging with replay
Full audit trail of logs and errors
Cost tracking across 400+ LLMs
Token count monitoring
Fine-tuning on saved completions
Native framework integrations
Role-based permissioning
AI Engineers
DevOps Teams
Product Managers
Startups
Enterprise Teams
Data Scientists
QA Engineers
Freelance Developers
Research Labs
Consulting Firms
Basic
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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