memory-curate
Skill4 starsChanged 16 days agoMITView on GitHub
Review this project's memories with the user and clean them up: hypotheses, duplicates, stale facts, wrong scope and recall keys. Use when the user asks to curate, review, audit or tidy the memory, or when memory_status shows many hypotheses.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- basicmachines-co/basic-memorytheir own version, first seen Jul 20, 2026
- charliehzm/medharnesstheir own version, first seen May 20, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- basicmachines-co/basic-memory★ 4.5ksame name
- charliehzm/medharness★ 85same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repositoryOne other file it gives its agents.
- memorySkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
Status: Call memory_status and keep its counts by state and kind for the end.
- Very specific: line 19
Before and after: Call memory_status again and report both sets of counts.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Memory curation
Propose every change and wait for the user's confirmation before you delete, supersede or update a memory; never run this unattended. Present the proposals as a short list with each memory's id and title.
- Status. Call
memory_statusand keep its counts by state and kind for the end. - Hypotheses.
memory_listwithstate: "hypothesis"; read each withmemory_get. Propose to keep it (ausedverdict throughmemory_feedbackbrings it back), correct it withmemory_updateor delete it withmemory_delete. - Duplicates. For each hypothesis and each memory on the listed pages,
memory_searchits title; it finds active and hypothesis memories alike. A different memory that teaches the same lesson is a duplicate. Propose one merge per pair: keep the more complete one (an active one before a hypothesis), fold anything only the other says into it withmemory_update, thenmemory_deletethe other; for a changed single-valued fact usememory_storewith resolutionSUPERSEDEinstead. - Stale facts.
memory_listwithkind: "fact", newest first; passnext_cursorasbeforefor the next page. A changed value is amemory_storewith resolutionSUPERSEDE; a fact that no longer holds is amemory_delete. - Wrong scope. Scope and kind cannot change in place: store the memory again with the right scope or kind (
memory_store), then delete the old one (memory_delete). - Recall keys. Fix keywords and anchors with
memory_update, following the authoring standard (memory/references/authoring.md); each replaces the stored value whole. A memory withoutquestionsis found less often: propose 3–6, in English and in the user's language, and add them withmemory_update. - Before and after. Call
memory_statusagain and report both sets of counts.
A memory that memory_list finds only with project: "all" belongs to another project: it is read-only here and can be changed only from a session in its own project.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

