πŸš€ All Features

Eight Ways ClawPulse Keeps Your Agents Healthy

Each feature was built to solve a real problem that OpenClaw operators face. Not monitoring for monitoring’s sake β€” monitoring that prevents disasters.

πŸ–₯️
Know before it breaks.

Server Health Monitor

ClawPulse installs a lightweight agent on your OpenClaw server with a single command. From that moment, you have continuous visibility into every critical system resource β€” CPU load, memory pressure, disk usage, and network I/O β€” all tracked in real time and stored historically so you can spot trends before they become incidents.

  • One-command install, zero ongoing configuration
  • CPU, RAM, disk, network β€” all in one view
  • Historical trending to spot degradation early
  • Uptime tracking with incident timeline
  • Automatic baseline detection for anomaly alerts
Server Health β€” nexus.prod
CPU Usage23%
Memory68%
Disk41%
Network I/O12%
All systems nominal β€” Uptime: 18d 4h 23m
πŸ€–
Every conversation your agents have. Tracked.

Session Monitor

Stop wondering what your agents are doing. ClawPulse captures every agent session β€” the model used, the channel it ran on, total tokens consumed, latency, duration, and final status. Click any session to inspect the full execution trace. When something goes wrong, you'll know exactly what happened and why.

  • Full session log with model, channel, and token breakdown
  • Click-to-inspect for complete execution details
  • Real-time view of currently active sessions
  • Error rate tracking per agent and per model
  • Session cost attribution down to individual runs
Agent Sessions β€” Last 24 Hours
AgentModelTokensDurationStatus
Nexusclaude-opus-412,4414m 12scomplete
Forgeclaude-sonnet-48,10212m 08srunning
BEACONgpt-4o3,2011m 44scomplete
SCOUTclaude-haiku9800m 22serror
⏰
No more silent failures.

Cron Center

Cron jobs are your automation backbone β€” and they fail silently. ClawPulse tracks every scheduled job in one place: when it last ran, its success rate, consecutive failure count, and the most recent error output. The moment a cron starts misbehaving, you'll know. Before your workflow breaks.

  • Every cron job tracked with schedule and last-run status
  • Consecutive failure counting with escalating alerts
  • Last error output visible without SSH access
  • Trend view to identify chronically flaky jobs
  • Quiet-hours support to suppress non-critical alerts
Cron Center
morning-ops
0 9 * * *Last: 2h agoErrors: 0
revenue-check
0 */4 * * *Last: 4h agoErrors: 1
deep-scan
⚠️ 3 consecutive failures
0 2 * * *Last: 22h agoErrors: 5
weekly-report
0 8 * * 1Last: 6d agoErrors: 0
πŸ’°
Stop discovering costs on your invoice.

Cost Tracker

Token costs are real costs. ClawPulse tracks every API call across Anthropic, OpenAI, and all major providers β€” unified into a single cost view. See daily burn rates, 30-day projections, per-agent attribution, and set budget alerts so you're never surprised by what you owe.

  • Multi-provider tracking: Anthropic, OpenAI, and more
  • Daily burn rate with 30-day projection
  • Per-agent and per-model cost attribution
  • Budget alerts before you hit your monthly limit
  • Cost vs. output efficiency scoring per agent
Token Cost Tracker
Today
$6.84
+12%
This Month
$142.20
-8%
Avg/Day
$4.82
baseline
Last 14 days
πŸ””
Proactive. Not reactive.

Smart Alerts

ClawPulse doesn't wait for things to break. It watches trends and sends alerts through Discord or email the moment something starts heading in the wrong direction. Configurable thresholds, quiet hours, alert channels, and severity levels β€” so you get signal without noise.

  • Discord and email delivery channels
  • Configurable thresholds per metric
  • Trend-based alerts, not just threshold triggers
  • Quiet hours to avoid 3AM notifications for non-critical events
  • Alert history and acknowledgment tracking
Smart Alerts β€” Inbox
πŸ’Ύ
Disk usage at 78% β€” approaching 80% threshold
5m ago
βœ…
Cron 'morning-ops' recovered after 1 failure
2h ago
πŸ’°
Daily token budget at 87% ($34.80 / $40.00)
3h ago
πŸ”΄
Agent 'SCOUT' failed 3 consecutive times
6h ago
🧠
An AI watching your AI.

AI Recommendations

Every night, ClawPulse runs a deep analysis of your entire agent stack. It identifies cost optimization opportunities, suggests new skills from ClawHub that fit your usage patterns, flags maintenance tasks before they become problems, and surfaces performance improvements specific to your setup. Not generic advice β€” tailored to your actual data.

  • Nightly analysis of full stack usage patterns
  • ClawHub skill suggestions based on your workflow
  • Model substitution recommendations with cost savings
  • Cron consolidation and scheduling optimizations
  • Prioritized recommendations with effort/impact scores
AI Recommendations β€” Nightly Analysis
HIGHCost

Switch SCOUT from claude-haiku-3 to claude-haiku-4 for 30% cost reduction with equal performance on your query types.

MEDSkill

Install 'memory-optimizer' skill from ClawHub β€” your agents are creating duplicate memory entries costing ~$0.80/day.

LOWPerf

Consolidate 3 nightly cron jobs into 1 batch job β€” reduces Anthropic API cold starts by ~40%.

πŸ“Š
Know what's fast. Fix what's slow.

Performance Analytics

Raw runtime isn't enough. ClawPulse gives you P50, P95, and P99 response latencies per agent and per model, error rates, throughput trends, and performance regression alerts. When a new skill slows down your agents, you'll see it in the data within hours β€” not weeks.

  • P50/P95/P99 latency per agent and model
  • Error rate tracking with trend analysis
  • Performance comparison across model versions
  • Regression alerts when performance degrades
  • Throughput and concurrency analytics
Performance Analytics
AgentP50P95ErrorsScore
Nexus1.2s3.4s0.1%
98
Forge4.8s12.1s0.8%
82
BEACON0.9s2.1s0.0%
99
SCOUT2.1s6.2s3.2%
71
πŸ›‘οΈ
The crash that never happens.

Predictive Maintenance

ClawPulse doesn't just tell you what's broken β€” it predicts what's about to break. Disk growth trajectories, token budget burn rates, error rate trends β€” all analyzed against configurable risk thresholds to generate a prioritized maintenance forecast days before anything fails. This is the feature that pays for itself every month it prevents a rebuild.

  • Disk, memory, and token budget trajectory modeling
  • Prioritized risk forecast with estimated time-to-impact
  • Automated maintenance task generation
  • Historical incident correlation to improve predictions
  • Weekly health score with trend direction
Predictive Maintenance β€” Risk Forecast
Disk FullHIGH RISK
~8 days at current growth
β†’ Clear /tmp and old logs
Token BudgetMED RISK
~12 days to overage
β†’ Review SCOUT usage spike
Cron CascadeLOW RISK
No immediate risk
β†’ deep-scan still needs fixing

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