memory-recall
memory-recall is a Memory stores & recall skill for AI agents, published by MerkyorLynn in the Lynn repository on GitHub. Skillspace rates memory-recall D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Persistent cross-session memory system with fact extraction, semantic search, and compiled memory layers. Your agent remembers everything across sessions — user preferences, project context, past decisions, personal details. Use when: (1) User references something from a previous conversation, (2) Agent needs project context it learned before, (3) User says 'remember this' or 'do you remember when...', (4) Starting a new session that should inherit past knowledge, (5) Agent keeps forgetting things between sessions.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 34
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, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
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