Mem Reduct

memreduct-mcp

Let AI agents (Claude Code, Codex, Cursor, Claude Desktop…) free RAM on Windows with your own Mem Reduct, so a model, render or build that needs memory right now can get it, without admin prompts and without dialogs to click away.

中文说明

Why

AI agents on Windows run long jobs on their own: builds, model inference, renders, many sessions and MCP servers side by side. Memory fills up along the way, and an agent has no way to give it back: idle sessions keep their pages resident, and trimming other programs' memory needs administrator rights the agent doesn't have. Mem Reduct can do it, but only when a person clicks it.

memreduct-mcp closes that gap. The agent checks memory itself and, when a job is about to run out, has the Mem Reduct you already run clean it, then reads back how much came free.

How it works

Mem Reduct already runs elevated in your tray. This server presses Mem Reduct's clean memory hotkey. Windows delivers registered hotkeys to the elevated Mem Reduct even from an unelevated agent, so no UAC prompt, scheduled task or admin service is involved. The server then waits until Mem Reduct records the clean (StatisticLastReduct in its ini) and measures available RAM before and after.

A hotkey clean shows no confirmation and no modal dialog. That is why this server does not use memreduct.exe -clean: the command line always ends with a message box that someone has to click.

This project does not include Mem Reduct. Mem Reduct is GPL-3.0 software by Henry++; this server only presses its hotkey.

Tools

Setup

1. Install Mem Reduct, start it (it asks for administrator rights once) and keep it in the tray. Turning on Load on system startup keeps it there.
2. In Mem Reduct Settings > Hotkeys, enable Clean memory. Pick a combination nothing else uses. The default Ctrl+F1 collides with Office's ribbon toggle, so Ctrl+Alt+Shift+F12 is a good choice. The server reads whatever you set.
3. Recommended: in Mem Reduct Settings > Advanced, enable Log cleaning results into a debug log. clean_memory then also returns the amount Mem Reduct itself reports (memreductReported), so you don't have to trust the server's own measurement.
4. Optional: turn off the clean-result tray notification if you don't want a balloon after each clean.
5. Requires Node.js 18 or later.

Claude Code (plugin, includes a skill that tells Claude when to clean)

/plugin marketplace add RepressedAlliance/memreduct-mcp/plugin install memreduct@memreduct-mcp

Codex, Cursor and other MCP clients

The server is on npm as memreduct-mcp:

codex mcp add memreduct -- npx -y memreduct-mcp

The server itself tells Codex when to clean. For the longer version Claude Code gets, also copy skills/memreduct/SKILL.md to %USERPROFILE%\.codex\skills\memreduct\SKILL.md (optional; new Codex sessions pick it up).

In clients configured with JSON (Cursor, Windsurf, Claude Desktop and others), add:

{  "mcpServers": {    "memreduct": { "command": "npx", "args": ["-y", "memreduct-mcp"] }  }}

Claude Desktop extension

Download memreduct-mcp.mcpb from Releases and open it, or drag it onto Claude Desktop's Settings > Extensions page. The cooldown can be changed in the extension's settings.

Without npm

Clone the repository; dist/index.cjs is a self-contained bundle with no npm install needed. Use command node with argument C:\path\to\memreduct-mcp\dist\index.cjs.

Is cleaning RAM actually useful?

Only at the right moment. Cleaning trims every program's working set and drops the standby cache, so available RAM jumps. How much depends on how much idle memory programs are holding. On a 16 GB test laptop, a process holding 6 GB of idle memory brought available RAM down to 3.6 GB; one clean_memory call brought it back to 10.9 GB (Mem Reduct's log: "Cleanup (Hotkey), 7.72 GB"). Right after a previous clean, with 10 GB already free, the same call freed under 1 GB.

Idle agent sessions are where it holds up best. With 8 long-lived Claude Code sessions (40 processes with their MCP servers) left idle after some work, one clean took their working set from 2.81 GB to 0.42 GB, and five minutes later they were at 1.02 GB. Their commit charge stayed at about 4 GB: cleaning frees physical RAM, it does not end processes or lower the commit charge.

Programs read those pages back from disk when they touch them again, so cleaning does not make a PC faster in general. It helps when a memory-hungry job is about to start and won't fit. The tool's cooldown and the bundled skill steer agents toward that use and away from cleaning on a schedule.

Limits

• Windows only, and Mem Reduct must be running.
• Windows blocks simulated key presses while an elevated window (for example Task Manager) has keyboard focus, or while the PC is locked. clean_memory then reports cleaned: false with a hint.
• If another program grabs the same hotkey, the clean won't happen; choose a different combination.

Development

npm installnpm run build   # bundles src/ into dist/index.cjsnpm test        # end-to-end: starts the server and really cleans memorynpm run pack:mcpb  # builds memreduct-mcp.mcpb for Claude Desktop

License

MIT