memory-manager
memory-manager is a Memory stores & recall skill for AI agents, published by HKU-MMLab in the UniClawBench repository on GitHub. Skillspace rates memory-manager B (81/100) and it was flagged as an attack benchmark; the rating is based on static analysis only.
Flagged as an attack benchmark: test cases written to attack AI agents. Do not install or run it.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Flagged as an attack benchmark
- GitHub stars
- 34
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B, but it was flagged as an attack benchmark, which keeps it out of our recommendations and rankings. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- The static scan found no issues, but it was flagged as an attack benchmark.
- License
- MIT
- 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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