๐Ÿ”งTroubleshooting

How to Fix OpenClaw High Memory Usage

Intermediate45-90 minutesUpdated 2025-03-01

OpenClaw instances can consume excessive memory due to large conversation contexts, unbounded caches, memory leaks in skills, or simply having too many features enabled simultaneously. High memory usage leads to slow response times, system swap thrashing, and eventual OOM (out of memory) kills. This guide helps you identify memory hogs and optimize resource usage.

Why This Is Hard to Do Yourself

These are the common pitfalls that trip people up.

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Memory usage creeping up over time

Slow leaks in skill code or unbounded conversation history buffers

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Massive context windows

Keeping full conversation history in memory for long sessions

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Unbounded caches and buffers

Embedding caches, skill result caches growing without eviction policies

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Too many loaded skills

Each skill and its dependencies consuming heap space even when idle

Step-by-Step Guide

Step 1

Measure current memory usage

Establish a baseline to understand how much memory OpenClaw is actually using.

Step 2

Identify specific memory hogs

Use profiling tools to see which parts of OpenClaw consume the most memory.

Step 3

Configure strict memory limits

Set hard limits to prevent runaway memory consumption and force garbage collection.

Step 4

Reduce conversation context window

Limit how much conversation history OpenClaw keeps in memory.

Step 5

Prune loaded skills and caches

Disable unused skills and configure cache eviction policies.

Step 6

Set up memory monitoring and alerts

Track memory trends over time and get notified before OOM kills.

Memory Issues Slowing You Down?

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Frequently Asked Questions