Agnost AI

Agnost AI is a monitoring platform for AI agents in production. It reads real conversations and traces to detect silent failures, the moments when users correct an agent, repeat a question or give up, and surfaces them without anyone filing a bug report. The Y Combinator backed company then proposes fixes that a team can review and approve. It is built for teams running customer facing or internal agents who need to know where those agents go wrong. Agnost groups similar failures into clusters and shows how many users each affects and whether it is growing, lets engineers open the flagged messages and follow nested tool calls to the root cause, and sends alerts to Slack. For each problem it suggests a change, typically a prompt edit, replays affected conversations to show the result, generates regression evaluations from the traces, and applies the fix once approved. Every plan includes automatic intent and sentiment discovery and detection of quality, policy and compliance violations. Integrations cover LangChain and LangGraph, the OpenAI Agents SDK, CrewAI, the Vercel AI SDK, Pydantic AI, Mastra, OpenAI, Anthropic, Agno, DSPy and VoltAgent, with Python, TypeScript and OpenTelemetry options for custom harnesses. Setup can be done by adding the Agnost skill to a coding agent and asking it to install the analytics. Pricing is published. Free covers 1,000 events a month with 7 days of retention. Starter is $49 per month for 10,000 events and 30 days of retention with onboarding help. Pro is $499 per month for 1,000,000 events and 90 days of retention. Enterprise is custom and adds self hosted VPC deployment, audit logs, custom SLAs and fine tuned small models. An event is one captured operation such as an agent turn, model generation or tool call, measured over a rolling 30 day window.