As AI agents become a core part of production systems, the question “is my agent actually running?” gets harder to answer. Agents can silently die, get stuck in loops, or rack up unexpected costs — and there's no native visibility into any of it.
We built ClevAgent to give AI teams the same observability infrastructure that web teams take for granted: heartbeat monitoring, anomaly detection, cost tracking, and daily audit reports — all in two lines of code.
ClevAgent monitors your AI agents via a lightweight SDK heartbeat. If an agent stops pinging, we alert you immediately. If it's sending more than expected (loop detection) or spending more than your daily budget, we catch it before it becomes a problem. Every morning, you get a report of what ran, what it cost, and what needs attention.
Install the SDK (pip install clevagent), add two lines to your agent, and ClevAgent handles the rest. A background thread sends heartbeat pings every 60 seconds. You can also log token costs directly from your agent so ClevAgent tracks spend in real time.
Built by Sean Kwon in Ann Arbor, Michigan. Independent product — direct support.
Founded 2026.