Create scheduled Knowledge ingestion automations with a verified worker, private-vault authority, and an end-to-end scheduled run. Use when asked to schedule or repair recurring ingestion from any source.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Correct or withdraw specific saved Knowledge claims, explicit relationships, or pages at the user's request, preserving provenance and inspecting affected knowledge. Use for “that's wrong”, “retract that”, or a Knowledge chat reference; not automatic contradiction resolution or physical erasure.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Read shared conventions and publication before writes.
Use a supplied structured record/claim ID and revision as the primary target,
not just its display label. Read knowledge_record with metadata and evidence;
confirm its current revision/hash. A referenced revision that changed requires
rereading and reconciling the request, not silently acting on a new assertion.
Without an exact reference, use lookup/search, inspect candidates, and ask only
when the requested target or correction remains materially ambiguous.
Distinguish an erroneous saved assertion from an unsupported answer, conflicting source statements, and a fact that changed over time. Contradiction alone does not authorize supersession. Do not manufacture a stored “guard fact” when no record exists or treat a retraction as evidence for its opposite.
knowledge_correct with
the exact ID, observed expectedRevision and expectedHash, reason, observed
vault UUID and ontology fingerprint, and a complete replacement of the same
kind. Replacement fields use the create-claim/create-relationship contract;
there is one outer request ID, not a second replacement request. Preserve
supported context, attribution, precise dates and evidence; remove or revise
what the correction actually changes. The operation publishes the replacement
and supersedes the old assertion together, with links in both directions.knowledge_withdraw with the
exact ID, revision/hash, reason and vault UUID. It accepts pages, claims and
explicit relationships. An edge is identified by its own ID, not its endpoint
pair. It preserves original evidence/history and is not file deletion.knowledge_save_page,
preserving unrelated authored material and sources. Page corrections are
revisions, not replacement entity identities.knowledge_merge with the surviving page,
the duplicate, both pages' current revision/hash and a reason. Keep the page
with the fuller identity (real name, more connections) as the survivor; pass
title to rename it and body when the combined page should say more than
the survivor's current prose. The duplicate's ID, title, aliases, claims,
relationships and links then resolve to the survivor; nothing is corrected one
by one. Undo a mistaken merge with knowledge_unmerge.An explicit user correction can supply evidence: retain their exact statement
with knowledge_attach, attribute it to the user, and reference its verified
locator. Use assertion_origin: user_belief to distinguish a user assertion from
an independently sourced statement; do not claim documentary verification.
Agent inference still needs retained premise evidence, not an invented quote.
Use knowledge-entities to find and read the handle profile, the established
person and their connected records. Retain the user's exact identification as
evidence. Update supported aliases and identity context on the existing pages;
preserve unrelated content and describe the connection to the established person.
Use that person's existing ID for future enrichment. When the handle already has
its own page, merge it into the established person's page with knowledge_merge
instead of writing a pointer page, withdrawing it, or correcting its claims one by
one. Merge only on identity evidence (the user's statement, a self-introduction, a
shared stable account ID), never on name similarity; knowledge_diagnostics
mergeCandidates lists pages to check, not pages to merge. Retain the identity
evidence with knowledge_attach and pass it as evidence.
Inspect affected prose, claims, timelines and relationships within the correction scope. Correct mistaken attribution and unresolved identity where the new evidence supports it, using the page/assertion operations above; preserve source labels, verbatim quotes, event dates and correction provenance. A confirmed author identity does not independently verify that author's factual claims.
Changes go through these tools, not manual Markdown edits, browser forms, SQL, or separate “create then withdraw” calls. No additional approval ritual applies to an unambiguous user-authorized correction. Follow publication retry/conflict handling; a receipt in accepted/conflict state is not a completed repair.
The receipt's impact.items identifies known scoped direct/transitive dependents
at acceptance. It does not update them. Read affected records by exact ID and
inspect their evidence. Repair only supported changes within the request's scope;
do not blindly replace dependency IDs or source quotes with the new claim.
Records depending on an inactive assertion are withheld from current discovery
until repaired; exact record/history inspection remains available.
Search for plausible prose copies as a supplementary check. Search misses, unlinked prose, hidden scopes and incomplete indexes prevent a universal “all copies fixed” promise. Do not alter unrelated memory or identity systems as an automatic consequence of a Knowledge correction.
Read back the original and replacement (or withdrawn target), verify lifecycle and evidence, and verify current lookup excludes the old assertion. Reply with the receipt/request ID, affected record IDs, the correction/retraction reason, and repaired versus unresolved dependencies. Mention retained history only when relevant; never promise erasure from originals, exports or backups.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Create scheduled Knowledge ingestion automations with a verified worker, private-vault authority, and an end-to-end scheduled run. Use when asked to schedule or repair recurring ingestion from any source.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Save durable preferences, decisions, project facts, commitments, and lessons cheaply with knowledge_remember, or short notes and page updates with attribution and readback. Use for explicit saves or agent-driven remembering when Knowledge is the selected memory provider.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Resolve and enrich Knowledge people, companies, projects, and concepts during an authorized ingestion or entity update, with sourced State, timelines, and back-links. Read-only identity questions do not authorize writes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, timelines, and cross-links. Routes meetings to knowledge-meeting-ingest and short thoughts to knowledge-capture.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Ingest meeting transcripts from any recorder into Knowledge with attendee enrichment, timeline merge, supported decisions and commitments, and verification of substance and sequence. Summary-only input is not a verified meeting ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Find and answer from saved Knowledge vault pages with source citations. Use for questions about stored documents, meetings, people, or projects; not for recalling conversation history or searching the web.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.