Fix Claude Code Install Killed on Linux (2026)
The Error
During Claude Code installation on a Linux VPS or cloud instance, the process is terminated:
Setting up Claude Code...
Installing Claude Code native build latest...
bash: line 142: 34803 Killed "$binary_path" install ${TARGET:+"$TARGET"}
Quick Fix
Add swap space and retry the installation:
sudo fallocate -l 2G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
curl -fsSL https://claude.ai/install.sh | bash
What’s Happening
The Linux OOM (Out of Memory) killer terminated the Claude Code installation process because the system ran out of physical memory. Claude Code requires at least 4 GB of available RAM for the installation and setup phase.
Many VPS and cloud instances ship with 1-2 GB of RAM and no swap space. When the installer extracts and configures the binary, memory usage spikes. Without swap as an overflow, the kernel kills the most memory-hungry process to prevent a system crash.
The Killed message with no additional error context is the telltale sign of the OOM killer. You can confirm this by checking the kernel log:
dmesg | grep -i "oom\|killed"
Step-by-Step Fix
Step 1: Check available memory
free -h
Look at the “available” column. If it is under 4 GB and swap shows 0, this is the cause.
Step 2: Check for existing swap
swapon --show
If there is no output, no swap is configured.
Step 3: Create a swap file
Create a 2 GB swap file:
sudo fallocate -l 2G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
Verify swap is active:
free -h
You should now see swap space in the output.
Step 4: Retry the installation
curl -fsSL https://claude.ai/install.sh | bash
Step 5: Make swap permanent (optional)
If you want the swap file to persist across reboots:
echo '/swapfile none swap sw 0 0' | sudo tee -a /etc/fstab
Step 6: Docker-specific fix
When installing Claude Code in a Docker container, the issue is compounded if the container runs as root with / as the working directory. The installer scans the filesystem and excessive memory usage follows.
Set a working directory before installing:
WORKDIR /tmp
RUN curl -fsSL https://claude.ai/install.sh | bash
Increase Docker memory limits if using Docker Desktop:
docker build --memory=4g .
Prevention
Before installing Claude Code on any Linux server, verify memory availability:
free -h
If available memory is under 4 GB, add swap first. For production servers running Claude Code, allocate at least 4 GB of RAM. Close unnecessary processes before installation to free memory.
For automated provisioning, include swap setup in your cloud-init or Terraform configuration:
#!/bin/bash
fallocate -l 2G /swapfile
chmod 600 /swapfile
mkswap /swapfile
swapon /swapfile
echo '/swapfile none swap sw 0 0' >> /etc/fstab
curl -fsSL https://claude.ai/install.sh | bash
Level Up Your Claude Code Workflow
The developers who get the most out of Claude Code aren’t just fixing errors — they’re running multi-agent pipelines, using battle-tested CLAUDE.md templates, and shipping with production-grade operating principles.
Related Guides
Configure permissions → Build your settings with our Permission Configurator.
Try it: Paste your error into our Error Diagnostic for an instant fix.
- Claude Code Headless Linux Auth
- Claude Code Dev Containers Setup Guide
- Claude Code Docker Permission Denied Fix
- process exited with code 1 fix — How to fix Claude Code process exited with code 1 error
See Also
Common Questions
What causes fix claude code install killed on linux issues?
Common causes include misconfigured settings, outdated dependencies, and environment conflicts. Check your project configuration and ensure all dependencies are up to date.
How do I prevent this error from recurring?
Set up automated checks in your development workflow. Use Claude Code’s built-in validation tools to catch configuration issues before they reach production.
Does this fix work on all operating systems?
The core fix applies to macOS, Linux, and Windows. Some path-related adjustments may be needed depending on your OS. Check the platform-specific notes in the guide above.