What this error means

Container exits with code 137 (OOMKilled) is a Docker failure pattern reported for developers trying to fix docker container exit code 137 oom killed out of memory error. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Real production issues: simcraft-backend crashes with code 137 on 8GB RAM system with multiple containers. Trading platform feature-engine OOM-crashes every ~30 min with 'Fatal JavaScript out of memory: Ineffective mark-compacts near heap limit'.

Common causes

  • Docker containers with insufficient memory limits crash silently with exit code 137. The lack of explicit error logs makes diagnosis difficult — developers see the container restarting but don't know it's an OOM issue without checking system logs.
  • Real production issues: simcraft-backend crashes with code 137 on 8GB RAM system with multiple containers. Trading platform feature-engine OOM-crashes every ~30 min with 'Fatal JavaScript out of memory: Ineffective mark-compacts near heap limit'.

Quick fixes

  1. Confirm the exact error signature matches Container exits with code 137 (OOMKilled).
  2. Check the Docker account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.