Monitoring for AI agents, cron jobs, and CI/CD pipelines that tracks started, progress, blocked and failed signals
The native macOS alternative to Process Explorer with advanced process monitoring capabilities
Stage
Growing
Not given
Founded
Not given
Not given
Based in
DE
Not given
Pricing model
Free
Freemium
Pricing
Free for individuals with no monitor cap. A paid team tier may come later with advance notice.
Free version with core features; paid license $34.99 USD for lifetime updates and unlimited devices. Also available on Setapp for $14.99/year or $34.99 lifetime.
Key features
MCP server with 50 tools for AI agents to create their own monitors
Absence detection that opens incidents when expected signals never arrive
Heartbeat monitoring for cron jobs via HTTP ping
CI/CD pipeline monitoring via signed webhooks from GitHub Actions, GitLab CI, and Jenkins
HTTP uptime probing for status code, latency, and keyword checks
Nine alert destinations with routing matrix and flap damping
Public status pages with embeddable badges
Terraform provider for monitoring as code
Agent registry and fleet view showing monitor status
Output assertions catching successful runs that did nothing
Per-process CPU and memory history
Process tree visualization with XPC service linking
Real-time disk I/O and memory pressure monitoring
CPU QoS breakdown and memory footprint analysis
Menu bar dashboard for system health tracking
Multi-property and regex search
JavaScript-based advanced filters
Deep process inspection with signature and entitlements info
CSV export for historical data and reporting
What makes it different
No SDK, library, or YAML changes required; works with any language via HTTP requests
Durable deadlines that survive restarts and never miss a check-in
Free for individuals with no monitor cap, fully hosted with no infrastructure to manage
Built by a systems engineer with DevOps experience who understands silent failures
Visualize complex process hierarchies with automatic XPC service linking
Advanced JavaScript filtering and multi-property regex search
Historical performance tracking with peak and average metrics
Retains information about finished processes for later analysis
Fully private with no data collection or remote transmission