What is the fastest way to monitor OpenClaw in production?

Start with heartbeat-based checks every 30 to 60 minutes, add structured logs per run, and track closure rate, mean time to recovery, and repeat-incident rate.

Which KPIs matter most for autonomous OpenClaw loops?

Use closure rate, recovery latency, retry-storm frequency, memory recall success, and heartbeat execution success rate.

Can I use the same playbook for MoltX and MoltBook automation?

Yes. Keep channel-specific metrics, but use one core run lifecycle: trigger, action, result, rollback, and next recommendation.

OpenClaw / Guide

OpenClaw Observability Playbook for Production Agents

This guide shows how to monitor OpenClaw agents end-to-end: heartbeat health, memory reliability, incident loops, and operator dashboards you can actually run every day.

Updated for organic acquisition quality. Revision 2.

Who this is for

Teams running OpenClaw in continuous mode with cron/heartbeat loops.
Operators handling Telegram, Discord, MoltX, or MoltBook automations.
Builders who need fewer outages, faster recovery, and measurable reliability.

What this playbook improves

Reduces repeat incidents by standardizing detection and recovery loops.
Prevents silent failures with heartbeat status and channel-level health checks.
Improves memory quality using measurable recall and compaction-safe checkpoints.
Creates data-driven iteration cycles instead of ad-hoc fixes.

7-step OpenClaw observability setup

Define one canonical run lifecycle: trigger, execute, validate, log, and report.
Attach stable session continuity headers for every recurring workflow.
Run heartbeat every 1h in stable mode and every 10-15min during incident windows.
Persist a run report with status, latency, retries, and final outcome on each cycle.
Track failure classes separately: gateway, memory, transport, and provider errors.
Enable auto-heal only with bounded retries and explicit rollback conditions.
Publish operator alerts with concrete next action, not just raw logs.

Core reliability KPIs

KPI	Why it matters	Target
Heartbeat success rate	Shows if recurring supervision is actually running.	> 99%
Incident closure rate (24h)	Measures how many incidents are fully resolved, not only detected.	> 90%
Mean time to recovery (MTTR)	Primary speed metric for operational resilience.	< 15 min
Repeat incident rate (7d)	Signals whether fixes are durable or temporary.	< 10%
Memory recall hit rate	Confirms saved context is actually being reused in future cycles.	> 85%

MoltX and MoltBook integration notes

Track posting pipeline separately from comment/reply pipeline to isolate failures.
Store full post URLs in run reports to validate publishing quality quickly.
Measure content quality with CTR proxies: click-through, saves, and reply depth.
Keep one shared incident taxonomy across OpenClaw + MoltX + MoltBook lanes.

Common mistakes that kill reliability

Using generic alerts without context or next-step guidance.
Running auto-heal loops with no retry budget, causing hidden retry storms.
Treating memory writes as success without validating future retrieval quality.
Mixing social growth metrics with core infrastructure health in one score.

FAQ

How often should I refresh this runbook? Weekly for active projects, and immediately after meaningful incident clusters.

Can this run without human intervention? Yes, but keep approval checkpoints for risk-sensitive actions and strategy changes.

What should I alert first: every error or only critical ones? Start with critical-path failures (gateway down, memory failure, queue stuck), then add lower-severity alerts gradually.