No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by JeanExtreme002 · MCP Server · ★ 214
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is PyMemoryEditor safe to install? View the security audit →
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
| Stars | 214 |
| Forks | 30 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.9632152900827/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-12 |
| Created | 2021-02-24 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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PyMemoryEditor is A pure-Python library that lets you inspect, modify and search the memory of any running process in a few lines of Python :snake: .. It is categorized as a MCP Server with 214 GitHub stars.
PyMemoryEditor is primarily written in Python. It covers topics such as ai-tools, cheat-engine, library.
You can find installation instructions and usage details in the PyMemoryEditor GitHub repository at github.com/JeanExtreme002/PyMemoryEditor. The project has 214 stars and 30 forks, indicating an active community.
PyMemoryEditor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to PyMemoryEditor on Agent Skills Hub include portview, mcp-client-for-ollama, daymon. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: