AgentOps

AgentOps is an observability and analytics platform for developers building AI agents. It helps teams track agent runs, inspect tool calls, debug failures, replay sessions, monitor costs, and understand how autonomous or semi-autonomous agents behave in development and production. The product is useful for SaaS founders and technical teams building agents with frameworks such as CrewAI, AutoGen, LangChain, or custom orchestration. Agents can be hard to debug because they take multiple steps, use tools, call models, and make decisions that are not always visible. AgentOps provides a layer for tracing and analyzing those behaviors. Teams can use AgentOps to monitor reliability, catch errors, improve prompts, understand bottlenecks, and compare agent changes over time. This is especially useful for support agents, research agents, workflow automation, coding agents, data agents, and AI products that need more than a single LLM call. For FutureStack, AgentOps belongs in Developer Tools because agent observability is becoming a core part of production AI infrastructure. It is best for developers and founders who are building agents and need to debug, monitor, and improve their behavior before scaling to real users.