PyMemoryEditor: A pure-Python library, app and MCP that lets you inspect, modify and search the memory of any running process

by JeanExtreme002 · MCP Server · ★ 225

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install PyMemoryEditor

pip install PyMemoryEditor
pip install "PyMemoryEditor[app]"

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolscheat-enginelibrarylinuxmacosmcpmemorymemory-scannerprocesspython

Quick Facts

Stars225
Forks31
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues5
Last Updated2026-11-03
Created2021-02-24
Platformsmcp, python
Est. Tokens~15k

About 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. <a h

Compatible Skills

These tools work well together with PyMemoryEditor for enhanced workflows:

  • VoiceMem — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • caura-long-run-fleet — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • claude-manufacturing-skills — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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