PyMemoryEditor

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!

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.

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

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

Install

pip install PyMemoryEditor

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

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:

pip install "PyMemoryEditor[speed]"

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

pip install "PyMemoryEditor[mcp]"

📖 Full guide at Read the Docs.

See it in action

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.

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

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

{
  "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.