Flow Launcher High Memory Usage: Compare Configurations

Troubleshooting · Published October 30, 2026 · Publisher: flowlauncher.app

At a glance

Investigate Flow Launcher memory usage by comparing idle behavior, repeated queries, and enabled plugins over a consistent period. One Task Manager reading does not establish a leak. Record the app version and separate the launcher process from external plugin runtimes or search-engine processes.

Steps to follow

  1. Record memory after startup and after the app has settled, noting the enabled plugin set and background work.
  2. Run the same harmless queries several times and watch whether memory stabilizes or continues growing during comparable activity.
  3. Disable one nonessential plugin at a time or test a backed-up fresh profile to isolate the difference.
  4. Report a repeatable growth pattern with versions and steps, rather than an arbitrary memory number without context.

Check the result

A controlled comparison shows whether growth follows a plugin, a specific action, or the base application. Keep measurements for both the test and control setup.

Limits and common pitfalls

Working-set readings change with caching and system pressure. Avoid promising that a particular setting will force a universal RAM target.

Make the check repeatable

The project has published fixes for specific memory-related behaviors in past releases. Compare your version with release notes before reporting a new issue, but do not assume a known fix explains every high reading. Include whether an external Python, Node.js, or Everything process accounts for the usage.

Questions and answers

Does high memory always mean a memory leak?

No. Caches and workloads can raise usage. Reproducible unbounded growth under the same workload is a more useful symptom to investigate.

Sources and scope

Documentation-based guidance, with source review on October 30, 2026. What was and was not tested.

Related guides

Package information and verification