PyMemoryEditor

io.github.JeanExtreme002v3.0.2Updated Oct 2, 2026

Read, write and scan process memory, Cheat Engine style, on Windows, Linux and macOS.

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Overview

AI-generated overview

Lets an assistant read, write and scan the memory of running processes, Cheat Engine style, on Windows, Linux and macOS.

What it does
PyMemoryEditor exposes a local MCP server that drives a pure-Python process-memory library. Fourteen tools cover the full Cheat Engine workflow: value scans, range scans, refining results, byte-signature (AOB) and regex pattern scans, multi-level pointer chains, and pointer scans for static addresses that survive ASLR. Scan results are kept server-side behind a handle, so a large first scan costs few tokens. Reading and writing values in a target process is supported.
When to use it
Use it for game modding and speedrunning tools, inspecting a live program's state without attaching a debugger, sampling variables for observability, or memory-scanning research on systems you own or are authorized to test.
Requirements
Runs as a local process on the user's machine (desktop only, no web executable). Install the PyPI package pymemoryeditor with the mcp extra and run the pymemoryeditor-mcp command, for example via uvx. No authentication, environment variables or headers are declared. OS-level permissions may be needed to access other processes.
Before you install
The server reads and writes the memory of other processes, which can crash or corrupt them; only point it at processes you own or have explicit permission to inspect. Writes change live program state. No credentials, payments or third-party data transfer are declared.

Installation

In SourceWeft

  1. Open PyMemoryEditor in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

PyMemoryEditor

A pure-Python library (built on ctypes) that lets you inspect, modify and search the memory of any running process in a few lines of Python — Cheat Engine workflows on Windows, Linux and macOS!


[PyMemoryEditor logo]

Read, write and scan the memory of any process — straight from Python.
One unified API. Three operating systems. No C compiler. No native build step.

[Python Package] [Coverage] [Pypi] [License] [Python Version] [Downloads]

Runs on Windows · Linux · macOS — 32-bit and 64-bit.

[PyMemoryEditor app attached to a running process]

Tweak a value in a running game · inspect a live program's state · harvest data straight from RAM.


Install

bash
pip install PyMemoryEditor

To also install the bundled GUI app (a Cheat Engine-style scanner), use the app extra:

bash
pip install "PyMemoryEditor[app]"pymemoryeditor

For faster scans on large processes, add the speed extra. It pulls in NumPy and automatically vectorizes the numeric scan comparison loop — ~10–30× faster on selective scans:

bash
pip install "PyMemoryEditor[speed]"

To let an AI assistant drive the library over the Model Context Protocol, use the mcp extra (see below):

bash
pip install "PyMemoryEditor[mcp]"

📖 Full guide at Read the Docs.


See it in action

python
from PyMemoryEditor import OpenProcess
with OpenProcess(name="game.exe") as process:
    # Scan the whole process for every address holding the value 100.    for address in process.search_by_value(int, value=100):        print(f"Found at 0x{address:X}")
    # Read the current value, then write a new one back.    current = process.read_int(address)    process.write_int(address, current + 500)

That's it — read, write or scan another process in three lines, the same way on every platform.


Let an AI assistant do it (MCP)

PyMemoryEditor ships a Model Context Protocol server, so an AI assistant can run the whole loop itself:

"Find the health value in my game. It's 100 right now."

It scans, asks you to take damage, refines the matches, and hands you the address.

bash
pip install "PyMemoryEditor[mcp]"claude mcp add pymemoryeditor -- pymemoryeditor-mcp

Or in any client that reads mcpServers JSON (Claude Desktop, editors, …):

json
{  "mcpServers": {    "pymemoryeditor": {      "command": "pymemoryeditor-mcp",      "args": []    }  }}

Fourteen tools cover the full workflow, with scan results kept server-side behind a handle, so a 40 000-hit first scan costs a few tokens instead of your whole context.

Read the MCP guide to learn more.


📖 Documentation

Full documentation lives at pymemoryeditor.readthedocs.io — installation, the Cheat Engine workflow, every method and parameter, the GUI app guide, platform notes and troubleshooting.

A quick map of where to go:

Quick StartOpen a process, read, write and run your first scan.
Searching memoryValue scans, ranges, refining results, the Cheat Engine loop.
Pattern scanFind code/data with byte signatures (AOB) and regex.
PointersMulti-level pointer chains and the live RemotePointer.
Pointer scanFind static pointers that survive ASLR.
The GUI appThe bundled Cheat Engine-style scanner.
The MCP serverLet an AI assistant drive the scan/refine loop.
API referenceEvery public class, method and parameter.
Platform notesPermissions and quirks on Windows, Linux and macOS.
TroubleshootingCommon errors and how to fix them.

What can I build with this?

  • 🎮 Game modding & speedrunning tools — the classic Cheat Engine use case.
  • 🔬 Debugging & introspection — inspect live state without attaching a debugger.
  • 📊 Observability tooling — sample variables in a running process for telemetry.
  • 🔐 Security & reverse-engineering research — on systems you own or are authorized to test.
  • 🎓 Learning — the bundled app is a great teaching tool for how memory scanning works.

[!NOTE] Responsible use. PyMemoryEditor talks to other processes through OS-level APIs. Only point it at processes you own or have explicit permission to inspect.


🤝 Contributing

Pull requests, bug reports and feature ideas are very welcome. Read CONTRIBUTING.md for the development setup, test layout and the small set of platform-specific quirks to be aware of.

If PyMemoryEditor helped your project, please ⭐ the repo — it's the easiest way to support the work and to help others discover the library.


License

Released under the MIT License — free for personal and commercial use.

Source: README.md at commit 1e1999d

Tools

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Version history

1
  1. v3.0.2LatestOct 2, 2026