An open-source observability framework for AI agents that tracks usage, costs, and performance metrics. agentops.ai ↗
AgentOps is a developer-focused, Python-only observability platform purpose-built for AI agents, offering session replay, time-travel debugging, cost tracking, and multi-agent workflow visualization. Its key differentiation is agent-native design and a broad integration library (400+ frameworks), but it remains a seed-stage company with only ~$2.6M in pre-seed funding -- dwarfed by rivals like Braintrust ($80M) -- which raises meaningful questions about enterprise longevity, roadmap depth, and support capacity. All compliance and self-hosting features (SOC-2, HIPAA, NIST AI RMF, SSO) are locked behind a custom-priced Enterprise tier, meaning the true cost for any regulated enterprise is "talk to sales," not the published $40/month Pro rate. Evaluation capabilities are described as limited compared to alternatives such as Langfuse, Arize Phoenix, and LangSmith, and the Python-only SDK and cloud-only default deployment below Enterprise tier are real constraints for polyglot enterprise stacks with data residency requirements.