Performance Analyzer for OpenClaw Agent Optimization
A slow agent loses users. FetchOpenClaws Performance Analyzer profiles your agent end-to-end, measuring response times per skill, LLM latency, tool execution duration, and memory lookup speed. Get actionable recommendations to cut response times and improve throughput.
Audience
Performance engineers, developers, and product teams optimizing agent response times
Use Case
Identify and resolve performance bottlenecks in OpenClaw agents to deliver faster response times
Workflow
4 steps · 5 checks
Workflow
- 1Enable performance profiling on your deployed agent with a single toggle.
- 2The analyzer collects timing data across all processing stages for a configurable sample period.
- 3Review the performance breakdown: LLM calls, skill execution, memory lookups, and tool invocations.
- 4Apply the recommended optimizations and re-profile to measure improvements.
What You Get
- Clear visibility into where time is spent in every agent response
- Average 30-50% response time improvement after applying recommendations
- Data-driven decisions about model selection, caching, and skill optimization
- Consistent performance tracking through automated weekly reports
Key Features
- End-to-end response time profiling broken down by processing stage
- Skill-level performance comparison to identify slow bottlenecks
- LLM latency tracking across different model providers
- Memory and tool execution timing with optimization suggestions
- Automated performance reports with week-over-week trend analysis
Common Questions
User Feedback
Feedback from teams using this tool in production.
DevOps Lead
“The health monitor caught a memory leak before it affected users. The 30-second check intervals give us real confidence.”
Proactive issue detection before user impact
SRE Engineer
“Integration checker saved us from a broken WhatsApp webhook that would have gone unnoticed for days on our old setup.”
Zero undetected integration failures across 50+ platforms