How to clear and reduce my idle ram usage

What is showing as 24.2 GB committed is not Windows detecting 24 GB of physical RAM. It is the commit limit, which is physical RAM plus pagefile capacity. In the screenshot, physical memory is about 8 GB LPDDR5, with about 774 MB hardware reserved, and the higher Committed value reflects virtual memory, not installed RAM.

For the idle usage itself, the supported way to diagnose it is to measure which category is consuming memory instead of repeatedly clearing standby memory.

1. Use Performance Monitor and check these counters:
   • Memory\Committed Bytes: shows demand for virtual memory.
   • Process\Working Set_Total: shows RAM actively used by processes.
   • Paging File% Usage: shows how much pagefile is actually in use.
   • Memory\Pages Output/sec: shows pages being written to the pagefile.
   If Committed Bytes keeps growing over time, that indicates increasing virtual memory demand. If paging activity also rises, performance will degrade.
2. Use RAMMap to identify what is using memory.
   • Open RAMMap.
   • Select Use Counts.
   • Click the Active column to sort by highest usage.
   • Check the top usage category.
   If the top usage is Metafile and a large part of memory is being consumed, that matches the documented System File Cache issue.
3. Confirm that in Performance Monitor.
   • Monitor Memory\System Cache Resident Bytes.
   • If it shows a continuous upward trend over time, the system is affected by system file cache growth.
4. If the usage keeps increasing over minutes or hours, capture a trace to check for a leak.
   • Open PowerShell or Command Prompt as administrator.
   • Run: wpr -start VirtualAllocation -filemode
   • Reproduce the idle-growth period or the scenario that causes memory to climb.
   • Run: wpr -stop Trace.etl
   • Open the trace with: wpa.exe Trace.etl
   • In Graph Explorer, add Memory > Total Commit to a new analysis view.
   • In the view, use columns Process, Commit Type, Commit Stack, and Size.
   • Sort by Size descending and filter to the process of interest.
   This is the documented path to find which process or code path is allocating memory.

Why this happens:

• High idle memory does not automatically mean a leak.
• Windows uses RAM for active working sets, cache, and virtual memory management.
• A high Pages/sec value alone does not prove a RAM shortage.
• A real leak is suggested when memory usage or commit keeps trending upward over time.
• If RAMMap shows Metafile dominating and System Cache Resident Bytes keeps growing, the issue is likely system file cache growth rather than normal app usage.

About RAMMap and standby-list cleaners:

• They can reduce usage only temporarily because they clear reclaimable memory, not the underlying source of allocation.
• If a process, driver, or the system file cache is continuously growing, the memory will fill again.

One caution: changing pagefile settings affects the commit limit, not the root cause of a leak. It can help avoid out-of-memory conditions, but it does not fix a process or cache that keeps allocating memory.

References:

• RAM, virtual memory, pagefile, and memory management in Windows
• You experience performance issues in applications and services when the system file cache consumes most of the physical RAM
• RAMMap v1.63
• Improve app performance by reducing the use of memory and disk space