AgentOps

AgentOps is a developer platform for monitoring, debugging, and optimizing AI agent applications in production Pricing: Freemium (Free for up to 10K events/month; paid plans from $49/month). See pros,

Open Source
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Web, API
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Get AgentOps

Open source
Free forever

What is AgentOps?

AgentOps is a monitoring and debugging platform designed for developers building AI agent applications. It provides visibility into how AI agents behave in production environments, allowing you to track agent actions, identify issues, and optimise performance. The platform integrates with your agent code to capture detailed event logs and session data, which you can then analyse to understand agent behaviour, spot bugs, and improve reliability. It's built for teams working with autonomous AI systems who need production-level observability without building these tools from scratch.

Key features

Event logging

Captures detailed records of agent actions, decisions, and API calls during execution

Session recording

Tracks complete agent sessions so you can replay and analyse what happened

Performance metrics

Shows execution time, token usage, cost, and other operational data

Debugging tools

Helps identify where agents fail or behave unexpectedly

Integration support

Works with common AI frameworks and agent libraries via SDKs

Pros & cons

Advantages

Free tier covers small-scale development and testing with 10K events per month
Purpose-built for AI agents rather than generic application monitoring
Straightforward integration through SDKs for popular frameworks
Transparent pricing starting at $49/month for production use

Limitations

Requires code changes to integrate the SDK into your agent application
Free tier has limited event capacity, so high-volume agents will need paid plans quickly
Primarily focused on monitoring and debugging rather than agent optimisation or tuning