memory
memory is a Memory stores & recall skill for AI agents, published by Pinperepette in the agd-memory repository on GitHub. Skillspace rates memory D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Per-project persistent memory in AGD format with selective retrieval and graph traversal. Use when the user says "ricordi", "what do you remember", "do you know X" — or when you need project context (user preferences, paths, past decisions, scope-restricted rules) before answering. The memory file is a graph; pull the TOC first, then fetch the relevant blocks plus their backlinks/refs in a single call. Costs roughly 6-15x fewer tokens than loading the whole memory file (TOC alone ~6x, typical 1-3 block fetch ~14x, single-block ~74x).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- 95 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- 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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