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.

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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

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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.

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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.