Memory stores & recall
The top-rated launch-quality Memory stores & recall skill for AI agents is superlocalmemory (grade A), followed by clawiser and claude-memory-kit. Skillspace rates 1,916 Memory stores & recall skills; 311 are launch-quality.
Operate a durable memory or knowledge store for the agent — save facts, decisions, preferences and profiles, retrieve them when relevant, and keep the store healthy through consolidation, pruning, index repair, import and coverage checks.
Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.
- superlocalmemory A
- clawiser A
- claude-memory-kit A
- memory-management B
- retrieval-stinger B
- persistent-notes B
- claude-memory-kit B
- ai-memory B
- ha-data-stores B
- autocontext-consumer B
- autocontext-creator B
- user-profile-keeper B
- atomicmemory-cli B
- im-wiki-extractor B
- qmd-knowledge B
- lucid-dreamer B
- memcord B
- ultron B
- memverse-memory B
- chat-history-import B
- alive-project B
- alive-prune B
- alive-health B
- alive-stash-router B
- agent-memory-implementation B
Frequently asked questions
What is the best Memory stores & recall skill for AI agents?
The top-rated launch-quality Memory stores & recall skill for AI agents is superlocalmemory (grade A), followed by clawiser and claude-memory-kit. Skillspace rates 1,916 Memory stores & recall skills; 311 are launch-quality.
How does Skillspace rate Memory stores & recall skills?
Skillspace grades every Memory stores & recall skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.
Are Memory stores & recall skills safe to install?
Of the 1,916 Memory stores & recall skills Skillspace rates, 1,816 passed its safety scan with no flag from its model, and 100 are flagged: 25 for review, 47 as risky, 24 as unsafe, 1 as an attack benchmark and 3 as test fixtures. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.
Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.