AgentMon
OpenClaw, Devin, Cursor agents, Claude Code, custom LangChain workers — AI agents are multiplying across your infrastructure.
AgentMon gives you one place to see them all, control spend, and stop problems before they escalate.

Your AI agents are unsupervised.
An OpenClaw agent ran 14 hours unsupervised and burned through $12K in API calls. A Devin instance rewrote a production config nobody asked it to touch. Your Claude Code agents are spawning subprocesses across six hosts. Who's watching?
AgentMon fixes that.
KNOW WHAT'S RUNNING
Fleet Dashboard
Every AI agent across your environment in one view — status, model, runtime, activity, and two-click root cause analysis
Live Trace & Log Streaming
See what agents are doing right now — no waiting for batch pipelines to catch up
Agent Topology Map
Auto-discovered hierarchy — who spawned what, which services and tools are being invoked
OpenTelemetry Native
Works with any OTLP-instrumented agent — no vendor lock-in, no proprietary SDKs
CATCH IT EARLY
Cost Spike Alerts
Get notified when an agent's spend jumps abnormally before it becomes a budget incident
Reasoning Loop Detection
Know when an agent is stuck retrying the same failed approach — burning tokens going nowhere
Failure Grouping
Errors automatically classified by root cause so you triage problems, not duplicate alerts
Route to Your Stack
Alerts to Slack, PagerDuty, email, or webhooks — fits your existing incident workflow
Runaway Agent Protection
Detect autonomous agents going off-script — spinning up costs, hitting APIs they shouldn't, looping endlessly
CONTROL COSTS
Real-Time Spend Tracking
Per-agent, per-model, per-team cost data updated in seconds — not hours
Model Efficiency Comparison
Identify agents using expensive models for tasks a cheaper one handles just fine
Budget Forecasting
Historical trend analysis so finance isn't surprised at month-end — plan instead of react
Team Chargeback Reports
Cost breakdowns by team and department ready for internal allocation and accountability
Token Usage Analytics
See exactly where tokens go — prompt vs. completion, cached vs. fresh, by agent and model
STAY SECURE
Automatic Secret Redaction
API keys, tokens, and sensitive headers stripped from all stored telemetry automatically
Anomalous Behavior Flagging
Suspicious prompts, unexpected permission escalations, and unusual tool usage patterns surfaced
Full Audit Trail
Every agent run, every tool call, every external service interaction — recorded and searchable
SIEM & Webhook Export
Forward detections to your existing security tools — integrates, doesn't replace
Compliance-Ready Logging
Tamper-evident records of all agent activity for audit, investigation, and regulatory needs
LEARN & BLOCK
Autonomous Threat Learning
Every dangerous prompt, runaway loop, and policy violation observed across the fleet becomes a signal. AgentMon continuously refines its detectors so tomorrow's misuse is caught — or blocked outright — before it runs
Cross-Fleet Pattern Recognition
Suspicious behavior seen on one agent strengthens detection for every agent you operate
Policy-to-Block Pipeline
Promote any learned detection into an enforcement rule with one click: warn, throttle, or kill the agent

See What Your AI Agents Are Doing Across Every Host
AI agents are spreading across your infrastructure. AgentMon collects their telemetry, connects the dots across hosts and sessions, and flags the problems before they become incidents.

Our mission is to secure the pervasive use of AI across the modern enterprise through autonomous, agentic AI—protecting models, agents, data flows, and runtime interactions with a platform that delivers strong security outcomes while remaining simple to operate and requiring no specialized security expertise.