engramory
engramory is a Memory stores & recall skill for AI agents, published by tinqiao-oss in the engramory repository on GitHub. Skillspace rates engramory F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Curated, file-based long-term memory for an AI agent. Use this skill (1) at the start of a task to recall durable facts via the memory index, and (2) during or after a task to save a durable fact worth remembering across sessions: who the user is, a working agreement about how you should behave, project state that is not in the code/git, or a pointer to an external resource. Each memory is one small markdown file; a single always-loaded index (MEMORY.md) lists them. Works on any agent host that can read and write local files.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 75
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.