memory-ingest
memory-ingest is a Memory stores & recall skill for AI agents, published by bentleypark in the aiwatch repository on GitHub. Skillspace rates memory-ingest F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Distill this session's durable knowledge into the file-based LLM Wiki memory (the `~/.claude/.../memory/` bundle). Invoke at end-of-session, when the PreCompact hook fires (if wired), or whenever the user says "remember this" / "기억해둬" / "메모리에 남겨". Captures user corrections + confirmed approaches (feedback), root-cause findings / non-obvious fixes (debugging), ongoing goals/constraints not derivable from code (project), and external-resource pointers (reference) — one concept per file, deduped against existing pages, with the MEMORY.md index + log.md updated. Replaces the retired MemPalace ingest (#891).
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 75 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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