
AgentOps
Agent observability platform for OpenAI, CrewAI, Autogen, and 400+ LLMs. Visually track LLM calls, tools, multi-agent flows. Rewind and replay runs.

Overview
AgentOps: Observability for AI Agents
AgentOps is the developer-favorite observability platform built specifically for AI agents and LLM applications. Where general LLM observability tools (Langfuse, Helicone) treat each call as discrete, AgentOps models multi-agent flows as first-class entities — tracking event chains, agent-to-agent handoffs, and tool-use patterns natively.
Integrates with the leading agent frameworks: CrewAI, Autogen, OpenAI Agents SDK, LangChain, AG2, CamelAI, plus 400+ LLM providers.
Key Features
- First-class multi-agent flow modeling — not just per-call tracing
- Rewind and replay agent runs with point-in-time precision
- Visual dashboards for agent execution flow, LLM calls, tool performance
- Drill-down to spans showing prompts, completions, tokens, errors
- 400+ LLM and framework integrations out of the box
Ideal Use Case
Engineering teams building multi-agent systems (CrewAI swarms, Autogen group chats, LangChain agent teams) where understanding why an agent did what it did is the hard part of debugging. Particularly strong for production agent monitoring.
Why Use AgentOps
Generic LLM observability shows you call traces. AgentOps shows you the agent's reasoning across multiple LLM calls and tool uses, with replay — which is what you actually need when an agent makes a wrong decision and you need to figure out why.
FAQ
Q: How is AgentOps different from Langfuse? A: Langfuse is general LLM observability; AgentOps is purpose-built for multi-agent flows with replay. Both can be used together.
Q: Does AgentOps work with my agent framework? A: 400+ frameworks and LLMs — CrewAI, Autogen, LangChain, OpenAI Agents SDK, Agno, custom Python, etc.
Q: Is there a free tier? A: Yes, with paid plans for production scale.
tl;dr
Agent-first observability — multi-agent flow tracing, replay, 400+ integrations. The default tool for debugging agent systems.
Related
Looking for more options? Browse the AI Infrastructure directory or read our best AI infrastructure tools listicle. AgentOps is also tracked on Crunchbase.
Why Use AgentOps

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