M4A

AgentOps

Observability and monitoring platform for AI agents

freemiumproductionobservabilitymonitoringdevtoolsanalyticsopen-source
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Memory Types

Integrations

langchain, crewai, autogen, openai, anthropic


Overview


AgentOps is an observability and monitoring platform specifically designed for AI agents. As agent applications become more complex with multiple steps, tool calls, and decision points, traditional monitoring falls short. AgentOps provides agent-specific telemetry, debugging, and analytics to help developers build reliable agent systems.


The platform tracks agent sessions, LLM calls, tool usage, costs, and errors, presenting them in an intuitive dashboard. AgentOps makes it easy to understand what your agents are doing, why they're making certain decisions, and where they're failing, which is critical for production agent deployments.


Key Features


  • **Session Tracking**: Monitor complete agent execution flows
  • **LLM Call Logging**: Track all model interactions and costs
  • **Tool Usage Analytics**: See how agents use tools
  • **Error Tracking**: Identify and debug agent failures
  • **Cost Monitoring**: Track token usage and API costs
  • **Replay Sessions**: Step through agent executions
  • **Performance Metrics**: Latency, success rates, etc.
  • **Framework Integration**: Works with LangChain, CrewAI, AutoGen

    • When to Use AgentOps


    AgentOps is ideal for:

  • Production agent applications needing monitoring
  • Debugging complex multi-step agent workflows
  • Teams tracking LLM costs and usage
  • Applications requiring agent reliability metrics
  • Developers building agent frameworks
  • Organizations with compliance and audit requirements

    • Pros


  • Purpose-built for agent observability
  • Easy integration with major frameworks
  • Open-source SDK
  • Good visualization of agent behavior
  • Helps debug complex agent issues
  • Tracks costs effectively
  • Session replay is very useful
  • Active development

    • Cons


  • Relatively new platform
  • Smaller user base
  • Limited integrations beyond major frameworks
  • Free tier has usage limits
  • May not capture all custom agent architectures
  • Still adding features
  • Less comprehensive than general observability tools
  • Requires instrumentation

    • Pricing


  • **Free Tier**: 1,000 sessions/month
  • **Pro**: $49/month for 10,000 sessions
  • **Enterprise**: Custom pricing for scale
  • **Open Source SDK**: Free to use

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