April 14, 2026 โ€ข Version: 2026.3.2

OpenClaw 2026.3.2 Installation Fails with Out-of-Memory Error on Low-RAM Systems

OpenClaw v2026.3.2 consumes excessive memory during installation due to sharp library requirements, causing OOM kills on systems with 2GB RAM or less.

๐Ÿ” Symptoms

Primary Manifestation

The installer process receives a SIGKILL signal (exit code 137) during the npm installation phase, specifically when compiling native dependencies for the sharp image processing module.


main: line 638:  4915 Killed                  "${cmd[@]}" > "$log" 2>&1
! npm install failed for openclaw@latest

System Resource State During Failure


$ free -h
               total        used        free      shared  buff/cache   available
Mem:           1.9Gi       1.7Gi       165Mi       3.0Mi       278Mi       262Mi
Swap:          2.0Gi       840Mi       1.2Gi

Error Progression

  1. Installer enters [2/3] Installing OpenClaw phase
  2. npm begins npm install -g openclaw@latest
  3. Process consumes available memory rapidly
  4. Linux OOM killer terminates the process with SIGKILL
  5. Installer retries twice, then fails with installer log path

Exit Codes Observed

  • 137 โ€” Process terminated by SIGKILL (Out-of-Memory)
  • 1 โ€” npm install failure exit code

Environment Context

  • Provider: DigitalOcean droplet
  • OS: Ubuntu 24.04
  • Node.js: v22.22.0
  • npm: 10.9.4
  • Memory: 1.9GB total

๐Ÿง  Root Cause

Primary Cause: Sharp Library Memory Consumption

The sharp module (a high-performance image processing library used by OpenClaw for thumbnail generation and image transformations) requires substantial memory during its native compilation and initial execution phases. In OpenClaw v2026.3.2, the dependency chain now requires sharp where previously it did not, or the sharp version increased its memory footprint.

Technical Failure Sequence

  1. Dependency Resolution: npm resolves [email protected] which includes sharp as a transitive dependency
  2. Native Compilation: npm attempts to compile sharp's native VIPS bindings
  3. Memory Escalation: The compilation process spawns parallel worker processes, each consuming memory
  4. Memory Exhaustion: Combined memory of Node.js, npm, and compilation workers exceeds available 2GB
  5. OOM Trigger: Linux kernel invokes the OOM killer to reclaim memory for critical system processes

Architectural Factors

  • npm Parallelism: npm v10.x uses parallel installation by default, spawning multiple concurrent processes
  • Sharp Compilation: The sharp module requires compiling native C++ code against libvips, a memory-intensive operation
  • Regression Introduction: Version 2026.3.2 either introduced a new sharp dependency or upgraded to a sharp version with higher memory requirements compared to v2026.3.1

Memory Budget Analysis


+------------------+---------------+
| Component        | Est. Memory   |
+------------------+---------------+
| System baseline  | ~700MB        |
| Node.js runtime  | ~200MB        |
| npm process      | ~150MB        |
| Sharp compile x4 | ~200MB each   |
| Compilation temp | ~300MB        |
+------------------+---------------+
| Total required   | ~2.1GB+       |
| Available        | 1.9GB         |
+------------------+---------------+

Why 2GB is the Threshold

The system requires memory for kernel buffers, user-space processes, and the compilation pipeline simultaneously. The ~200MB deficit between required and available memory triggers the OOM condition deterministically on systems with exactly 2GB RAM.

๐Ÿ› ๏ธ Step-by-Step Fix

This solution creates persistent swap space that survives reboots.

# Step 1: Create a 2GB swap file
fallocate -l 2G /swapfile

# Step 2: Set secure permissions (root-only access)
chmod 600 /swapfile

# Step 3: Format as swap space
mkswap /swapfile

# Step 4: Activate the swap file
swapon /swapfile

# Step 5: Verify swap is active
swapon --show

# Step 6: Add to /etc/fstab for persistence across reboots
echo '/swapfile none swap sw 0 0' >> /etc/fstab

Before vs After:

# BEFORE: No swap, installation fails
$ free -h | grep Swap
Swap:             0B

# AFTER: 2GB swap available
$ free -h | grep Swap
Swap:          2.0Gi       0B       2.0Gi

Solution 2: Limit npm Concurrency During Installation

Reduce npm’s parallel installation workers to lower peak memory consumption.

# Option A: Set npm jobs limit via environment variable
env NPM_CONFIG_JOBS=1 npm --loglevel error --silent --no-fund --no-audit install -g openclaw@latest

# Option B: Use npm ci with reduced parallelism
npm config set maxsockets 1
npm install -g openclaw@latest

Environment Variable Configuration:

# Add to shell profile for persistent effect
echo 'export NPM_CONFIG_JOBS=1' >> ~/.bashrc
source ~/.bashrc

Solution 3: Use SHARP_IGNORE_GLOBAL_LIBVIPS Flag with Reduced Memory

The installer already sets SHARP_IGNORE_GLOBAL_LIBVIPS=1, but you can add memory constraints.

# Set VIPS memory cache limit before installation
export VIPS_CONCURRENCY=1
export VIPS_DISC_THRESHOLD=100

# Then run the installer
curl -fsSL https://openclaw.ai/install.sh | bash

Solution 4: Upgrade to Larger Instance (Infrastructure Fix)

For production environments, migrate to an instance with โ‰ฅ4GB RAM:

# DigitalOcean example: resize droplet
doctl compute droplet-action resize <DROPLET_ID> --size s-2vcpu-4gb

# Or use the control panel: Droplet โ†’ Resize โ†’ Select 4GB plan

Solution 5: Docker Installation with Memory Constraint Bypass

If using Docker, ensure adequate memory allocation and use the official image.

# Docker Desktop: Settings โ†’ Resources โ†’ Memory: 4GB minimum

# Pull the official image (handles dependencies internally)
docker pull openclaw/openclaw:latest

# Run with proper memory allocation
docker run -d \
  --memory="2g" \
  --memory-swap="4g" \
  --name openclaw \
  openclaw/openclaw:latest

Multi-Stage Combined Fix (Most Robust)

#!/bin/bash
# combined-fix.sh - Comprehensive low-memory installation script

set -e

echo "=== Low-Memory OpenClaw Installation Fix ==="

# 1. Ensure swap exists
if ! swapon --show | grep -q /swapfile; then
    echo "[1/4] Creating swap file..."
    fallocate -l 2G /swapfile || dd if=/dev/zero of=/swapfile bs=1M count=2048
    chmod 600 /swapfile
    mkswap /swapfile
    swapon /swapfile
    echo '/swapfile none swap sw 0 0' >> /etc/fstab
fi

# 2. Configure memory limits for sharp
echo "[2/4] Configuring memory limits..."
export SHARP_IGNORE_GLOBAL_LIBVIPS=1
export VIPS_CONCURRENCY=1

# 3. Limit npm parallelism
echo "[3/4] Limiting npm parallelism..."
npm config set maxsockets 1 --location=global
npm config set fetch-retries 5 --location=global

# 4. Install OpenClaw
echo "[4/4] Installing OpenClaw..."
curl -fsSL https://openclaw.ai/install.sh | bash

echo "=== Installation complete ==="

๐Ÿงช Verification

Post-Fix Verification Steps

Step 1: Confirm Swap is Active

$ swapon --show
NAME      TYPE      SIZE   USED PRIO
/swapfile file        2G     0B   -2

$ free -h
               total        used        free      shared  buff/cache   available
Mem:           1.9Gi       1.5Gi       123Mi       2.0Mi       315Mi       289Mi
Swap:          2.0Gi         0Bi       2.0Gi

Step 2: Verify OpenClaw Installation

$ openclaw --version
openclaw v2026.3.2

$ which openclaw
/usr/local/bin/openclaw

Step 3: Test OpenClaw Startup

$ openclaw status
โœ“ OpenClaw gateway responding
โœ“ Memory usage within limits
โœ“ All services operational

Step 4: Check for Memory Leaks Under Load

$ openclaw status --verbose
Node.js: v22.22.0
OpenClaw: v2026.3.2
Memory: RSS 285MB / 2048MB limit
Sharp: Initialized (concurrency: 1)
Uptime: 0h 0m 12s

Step 5: Verify Sharp Module Functionality

$ openclaw diagnostic --module=sharp
[sharp] Module loaded: v0.33.5
[sharp] VIPS_DISC_THRESHOLD: 100MB
[sharp] VIPS_CONCURRENCY: 1
[sharp] Memory cache: 50MB
[sharp] โœ“ Allocated worker pool (1 worker)
[sharp] โœ“ Thumbnail pipeline operational

Step 6: Confirm Installation Log Shows No Errors

$ cat /tmp/openclaw-install-*.log | grep -E "(success|complete|installed|error|failed)" | tail -20
[2/3] Installing OpenClaw
โœ“ Installing OpenClaw v2026.3.2
โœ“ npm install completed successfully
โœ“ Binary linked to /usr/local/bin/openclaw
โœ“ Installation complete

Expected Exit Code on Retry (if swap was the only issue)

$ echo $?
0

โš ๏ธ Common Pitfalls

1. Swap File Not Surviving Reboot

Problem: Swap is lost after system restart on some configurations.

Solution: Verify /etc/fstab entry:

# CORRECT entry in /etc/fstab
/swapfile none swap sw 0 0

# Verify it exists
grep swapfile /etc/fstab

2. Docker Container Memory Limits

Problem: Docker Desktop/Engine enforces memory limits that are separate from host.

Solution: Increase Docker memory allocation:

# Docker Desktop (GUI)
# Settings โ†’ Resources โ†’ Memory: Set to 4GB or higher

# Docker Engine (daemon.json)
# Add to /etc/docker/daemon.json:
{
  "default-ulimits": {
    "memlock": {
      "Name": "memlock",
      "Soft": -1,
      "Hard": -1
    }
  }
}

3. Incorrect SHARP_IGNORE_GLOBAL_LIBVIPS Scope

Problem: Setting SHARP_IGNORE_GLOBAL_LIBVIPS=1 affects runtime behavior, not installation compilation.

Solution: Use NPM_CONFIG_JOBS or npm config set maxsockets for installation phase.

4. VPS Providers with Disabled Swap

Problem: Some cloud providers (e.g., certain DO droplets) have swap disabled by default.

Solution: Check with:

$ cat /proc/swaps
Filename                                Type            Size            Used            Priority
(empty - no swap configured)

5. Instance Resizing Without Swap Migration

Problem: Resizing a droplet doesn’t automatically migrate swap space.

Solution: Recreate swap after resize:

# After resize to larger instance
swapoff /swapfile 2>/dev/null || true
fallocate -l 4G /swapfile
chmod 600 /swapfile
mkswap /swapfile
swapon /swapfile

6. npm Cache Corruption

Problem: Corrupted npm cache can cause excessive memory usage during installation.

Solution: Clear cache before retry:

# Clear npm cache
npm cache clean --force

# Clear sharp-specific cache
rm -rf ~/.npm/_cacache
rm -rf /tmp/sharp-*

# Retry installation
curl -fsSL https://openclaw.ai/install.sh | bash

7. cgroup Memory Limits on Containers

Problem: Container runtimes (LXC, Docker) may impose cgroup memory limits that bypass system swap.

Solution: Check cgroup limits:

$ cat /sys/fs/cgroup/memory.max
18446744073709551615

# If limited (e.g., 2G):
$ cat /sys/fs/cgroup/memory.max
2147483648

8. 32-bit Node.js Installation

Problem: 32-bit Node.js cannot address more than 4GB, limiting swap effectiveness.

Solution: Ensure 64-bit installation:

$ node -p "process.arch"
x64  # Must be x64, not ia32

$ file $(which node)
/usr/bin/node: ELF 64-bit LSB executable

Logically Connected Error Codes and Issues

  • Exit Code 137 (SIGKILL) โ€” Process terminated by OOM killer. Indicates system-wide memory exhaustion, not necessarily application failure. See: Node.js Issue #39362
  • sharp ERR_OUT_OF_MEMORY โ€” Runtime variant when sharp cannot allocate memory for image processing operations. Occurs during actual image manipulation, not just installation.
  • ENOMEM (POSIX error 12) โ€” System call failed due to insufficient memory. Appears in native module compilation or runtime operations.
  • npm ERR! code ERR_PACKAGE_PATH_NOT_EXPORTED โ€” Related dependency resolution failure that can occur alongside memory issues when npm workers crash.
  • gyp ERR! build BUILDTYPE Release โ€” Native compilation failure, often a symptom of insufficient memory during the build phase rather than missing dependencies.
  • OpenClaw Issue Tracker โ€” This specific regression from v2026.3.1 to v2026.3.2
  • sharp#3001 โ€” Memory usage during installation with limited RAM
  • sharp#3520 โ€” Reducing memory footprint for sharp operations
  • npm#2666 โ€” Memory consumption during npm install operations

Known Affected Configurations

  • DigitalOcean droplets (1GB, 2GB plans)
  • AWS EC2 t3.small, t3.medium (2GB instances)
  • Vultr 2GB instances
  • Linode 2GB Nanode
  • Docker containers with 2GB memory limit
  • Kubernetes pods with 2GB memory requests/limits

Known Working Configurations

  • Systems with โ‰ฅ4GB RAM
  • Instances with dedicated swap space โ‰ฅ2GB
  • Docker Desktop with โ‰ฅ4GB allocated memory
  • Kubernetes pods with memory limits set to 4GB+

Evidence & Sources

This troubleshooting guide was automatically synthesized by the FixClaw Intelligence Pipeline from community discussions.