Advanced Intermediate 20-30 min
Performance Optimization Guide
Optimize OpenClaw for better performance and resource usage
#Performance
#Optimization
#Tuning
Prerequisites
- OpenClaw deployed
- Basic system knowledge
Steps
1
Evaluate Current Performance
Understand OpenClaw's resource usage.
Commands
Linux/Mac
docker stats openclaw Tips
- • Monitor CPU and memory usage
- • Normal CPU should be 10-30%, memory 500MB-2GB
2
Optimize Model Calls
Reduce model call latency and cost.
Commands
All Systems
• Use faster-responding models (e.g., Claude Haiku)
• Shorten conversation history
• Enable response caching Tips
- • Most simple questions can use fast models
- • Caching can significantly reduce costs for repeated requests
3
Optimize Memory System
Make memory retrieval faster.
Commands
All Systems
Memory Configuration → reduce the number of retrievals → enable vector indexing (if supported) Tips
- • More memory means slower retrieval
- • Regularly clean useless memories
4
Resource Tuning
Allocate appropriate resources for OpenClaw.
Commands
Linux
docker update --memory=2g --cpus=2 openclaw Tips
- • At least 1GB memory, recommend 2GB+
- • If using local models, need more resources
Common Issues
Response is very slow?
Check network latency, model response time, memory usage. Consider upgrading config or switching models
Frequent crashes?
Check if memory is insufficient, check logs to locate crash cause