Agent skill

Omh Memory Sync

by rlaope in rlaope/oh-my-hermes

[omh] Outdated or wrong Hermes memory entries: English-canonical Hermes memory-review guidance: inspect USER.md and MEMORY.md claims and prepare a native write diff without invoking, applying, or…

MITAuto-check passed

Install Omh Memory Sync

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill omh-memory-sync -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rlaope/oh-my-hermes omh-memory-sync --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/omh-memory-sync .claude/skills/omh-memory-sync && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
omh-memory-sync
GitHub stars
3.2k
Token cost
~4.1k tokens
SKILL.md length
2,137 words
Files
2 (incl. references)
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

[omh] Outdated or wrong Hermes memory entries: English-canonical Hermes memory-review guidance: inspect USER.md and MEMORY.md claims and prepare a native write diff without invoking, applying, or…

  • The user says: memory-sync
  • SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Memory curation

What it does

Omh Memory Sync is an agent skill from rlaope/oh-my-hermes. [omh] Outdated or wrong Hermes memory entries: English-canonical Hermes memory-review guidance: inspect USER.md and MEMORY.md claims and prepare a native write diff without invoking, applying, or observing a native write; for a new fact use memory-new, and for a past decision use decision-recall. Use when the user says: memory-sync, memory curation, memory review, memory inspect, memory check, memory update, context cleanup, curate memory.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/source-recovery.md`).

The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.

When your agent uses it

  • The user says: memory-sync
  • Memory curation
  • Context cleanup

Example prompts

  • “/omh-memory-sync”

What it can do on your machine

Read from SKILL.md and the folder at commit f772a94. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Omh Memory Sync loads about 4.1k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 2,137 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rlaope/oh-my-hermes at commit f772a94, republished under its MIT licence (© rlaope). 2,137 words, ~4,073 tokens.

Download SKILL.mdSave it as .claude/skills/omh-memory-sync/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
omh-memory-sync
description
[omh] Outdated or wrong Hermes memory entries: English-canonical Hermes memory-review guidance: inspect USER.md and MEMORY.md claims and prepare a native write diff without invoking, applying, or observing a native write; for a new fact use memory-new, and for a past decision use decision-recall. Use when the user says: memory-sync, memory curation, memory review, memory inspect, memory check, memory update, context cleanup, curate memory.

Memory Sync

This is a Hermes-native memory-sync workflow skill.

Why This Exists

memory-sync exists so Hermes users can ask for this workflow in chat and get a structured, checkable answer instead of an improvised one.

Do Not Use When

  • The request is already handled by a narrower explicit skill with stronger evidence.
  • The user asks OMH to secretly run external platforms, connectors, schedulers, file exports, or runtime agents.
  • The only safe answer is to ask for missing authority, credentials, target, or observed evidence first.

Examples

Good example:

  • Prompt: memory-sync inspect stale MEMORY.md claims, prepare a native write diff, and ask which claims to keep, revise, or archive.
  • Expected behavior: Produce prepare_memory_sync with required context, wrapper actions, and not-evidence boundaries.
  • Why: The prompt names a real workflow surface that Hermes can orchestrate without hiding execution.

Bad example:

  • Prompt: memory-sync claim a prepared native diff changed MEMORY.md or USER.md.
  • Expected behavior: Report the missing observed evidence or authority instead of claiming the external step happened.
  • Why: Prepared OMH guidance is not platform, runtime, connector, file, memory, or delivery evidence.

Completion Checklist

  • Confirm the workflow target, evidence boundary, and stop condition are named.
  • Report which outputs are prepared, observed, blocked, or missing.
  • Name the smallest next verification or handoff instead of claiming completion from narration.

Recovery Notes

  • If required context is missing, ask one blocking question or route back to the narrower workflow.
  • If runtime or wrapper evidence is unavailable, keep the status as not_observed and expose the next observable action.

Workflow Lane

  • Current lane: Retained knowledge (memory-new, memory-sync, decision-recall, wiki) - memory, rejected alternatives, wiki notes, retrieval, and staleness.
  • If intent belongs to another lane, hand back to oh-my-hermes or name the adjacent workflow.
  • Shared product, routing, compatibility, and evidence rules: omh-routing/references/skill-common-rail.md.

English-Canonical Interview Protocol

  • Inventory (목록) - Call omh_memory with action="status" for the entry inventory: per-file counts, per-entry index and size, headroom, and entries with no OMH record. It returns counts and hashes, never entry text.
  • Claim extraction (추출) - Break the USER.md and MEMORY.md material into claims; quote only observed claims and never invent provenance.
  • Provenance (출처) - Ask for the source class and distinguish Hermes-native, provider, and vector material as not_omh_reviewed. A provider posture's input_fidelity_summary.readiness is literal: only complete_observed rests on an observed complete receipt (docs/MEMORY-SYNC-FIDELITY.md).
  • Target (대상) - Review existing native-memory claims only; route a new project/product fact to memory-new.
  • Candidate selection (후보) - Open records first (see Open Records below); then a short interview, not a census: pick about five candidates per pass and say why. Rank by dreaming reminders (duplicate clusters, deadline, stale_review_required), status-bridge similarity rows, and claims that look stale, conflicting, or overgeneralized. Walk the full inventory only on request.
  • Per-entry confirmation (확인) - One candidate at a time: quote it back from your own memory file, say what you take it to mean, then ask the user to keep, revise, or archive it before moving on. A review the user cannot correct entry by entry is not a review.
  • Cursor (이어하기) - Close every pass with reviewed entry indexes, remaining candidates, and the next entry a resumed review starts from. The resume point lives only in the conversation; name it.
  • Incident (진단) - A recall complaint ("my saved preference was not used") is a diagnosis, never an apology or automatic write. Anchor one expected claim and run omh memory recall-incident --record-id <id> | --claim-digest <sha256> --session-id <session> (agent reference; JSON only). Explain its memory_recall_incident/v1 stage, evidence surfaces, and remediation: stored, eligible, selected, rendered, delivered, and used are separate claims; diagnosis today stops at selected; a missing receipt is unavailable, never non-delivery. Mutation waits for this interview's approvals. Contract: docs/MEMORY-RECALL-INCIDENT.md.
  • Source recovery (출처 회수) - A whole wrong source is not a record-by-record review. Enumerate it with omh memory sources --source <label> (a read; it quarantines nothing), then follow references/source-recovery.md.
  • Review (검토) - Prioritize stale, conflicting, duplicate, and overgeneralized claims. Offer keep, revise, or archive; never call an archive a removal.
  • Attention (주의) - For a reviewed OMH-local record, keep/archive is an attention tier: active leads the working context, reference stays recallable behind it, archive leaves default recall. Preview with omh memory attention <record-id> --tier <tier>, name which records stay in or leave the working context, then add --apply only after the user agrees. The preview writes nothing.
  • Diff (차이) - Prepare one concise native write diff with before/after claims and counts. Caps: MEMORY.md about 2,200 characters, USER.md about 1,375 characters.
  • Move to OMH - A durable entry the user agrees belongs in OMH, you capture yourself with omh_memory and action="capture" (one bounded summary per fact; never hand the user a CLI step), and the diff shrinks its Hermes entry to a short pointer line. The capture result is OMH-local evidence only; the Hermes side changes only through the native write below.
  • Native-write boundary (쓰기) - OMH prepares guidance and a native write diff only; no OMH surface invokes, applies, or observes a MEMORY.md/USER.md write.
  • Apply after approval (적용) - Per-entry answers feed the diff without approving it. Ask for one explicit approval of the assembled diff, then apply the approved entries yourself through the Hermes-native memory tool that owns these files and report what the write observably changed; an approved diff left unapplied while the tool is available fails the interview. Without the tool, report the approved diff and stop; never edit the files directly. The OMH artifact stays memory_curation_review/v1 metadata either way; the native write is Hermes's own act and never becomes OMH mutation evidence.

Open Records

An open record is one the person marked unresolved: staleness.resolution: "open". Recall delivers it as open · N days unresolved; past its review deadline its freshness state is open (reason unresolved), never stale, and it never becomes a verdict by timeout. Two clocks can still expire it: a retention TTL, which outranks everything, and the hard ceiling open_max_days (default 365; durable records exempt), with reason unresolved_expired.

When the user asks to tidy, review, or clean up memory, list open records first, before the stale, duplicate, and conflict review. Run omh memory status and read counts.unresolved and the bounded open_records list (oldest first). Show each record with its summary, open_days, review_due_at, state, and last_asked_at, then offer the same three answers the reminder offers:

  • Resolved - omh memory confirm <record-id> writes resolution: resolved and resets the review deadline. A correction (omh memory correct) also resolves, by superseding.
  • Still open - omh memory keep-open <record-id> resets only the reminder's ask clock; the record, its state, and its deadline do not change.
  • Drop it - omh memory retire <record-id> prepares the retirement; --apply archives it. Nothing is deleted.

The person answers per record; never resolve, keep open, or retire on your own judgment. A record with no answer stays open: say so, and do not default it to keep-open. Between reviews the provider prefetch asks on its own, with at most one omh reminder: "<summary>" (<record_id>) has been unresolved for N days — resolved, still open, or drop it? line per turn: once when the review deadline passes, then at most every open_ask_days (default 14) per record, and "still open" resets that clock. The reminder only asks and writes no record, so an answer given in chat still goes through one of the three commands above.

Show full SKILL.md (845 more words)Show less

Memory Boundaries

The prepared artifact is memory_curation_review/v1, not native-memory mutation evidence. Hermes-native and external provider/vector context is not_omh_reviewed: it can nominate an OMH candidate but never inherits OMH approval. A configured Hermes runtime may send rendered OMH prefetch content in a model request.

Lifecycle words are literal: expire removes influence only; retire archives recoverably; restore creates a new pending revision and keeps the archive; prune hard-deletes only the manifest-declared OMH-local target set. Report restore and prune first; no lifecycle result proves anything outside that target set.

An attention tier is not a lifecycle state; the two uses of "archive" differ: the archive tier only removes a record from the default working context, leaving it stored and answerable by omh memory recall --include-archived; retire moves an expired revision to the local archive directory. Neither is deletion.

Legacy v1 material is migration/review-required: show memory inventory counts and the report-first memory reactivate ... --apply path; neither silently grants replay eligibility.

Dreaming runs in reminder mode at five scheduler points: turn on the due interval (default five turns), compaction before compression discards messages, session_end, shutdown, and session_start_recovery after an unconsolidated end. It flags duplicate clusters, records near deadline, headroom below the floor, stale_review_required, and expired_volatile_records, suppressing an unchanged condition until its value changes; a reminder OMH cannot source is no candidate. Dreaming never invokes a model or performs consolidation, retirement, restore, or prune.

Ranking limits: pins guarantee inclusion but never override expiry, scope, perspective, or review eligibility; attention tiers control working-context occupancy, not truth; approved_manual weighs 100%, approved_auto_safe 90%, and an unknown approval mode fails closed to 90%; age only breaks ties within an equal relevance rank; usage buckets saturate, so repeated delivery cannot compound into a permanent lead.

Normal users talk to Hermes in natural language; omh memory ... commands are agent/operator references.

Use When

Use when existing Hermes USER.md, MEMORY.md, or accumulated skill memories need an English-canonical, claim-by-claim review. It prepares native write guidance only; no OMH surface invokes, applies, or observes a native write — a user-approved diff is applied by Hermes's own native memory tool. Do not use for new project or product candidates.

Strong routing signals: `memory-sync`, `memory curation`, `memory review`, `memory inspect`, `memory check`, `memory update`, `context cleanup`, `curate memory`, `stale memory`, `hermes remembers`, `conflicting memory`, `duplicate skill`, `MEMORY.md`, `USER.md`, `what you remember about me`, `your memory about me`, `your memories`, `memory interview`, `memories still true`, `기억하고 있는`, `기억하고 있는 프로젝트 맥락`, `기억하는 맥락`, `현재 hermes가 기억하는 맥락`, `현재 헤르메스가 기억하는 맥락`, `헤르메스가 기억하는 맥락`, `오래된 맥락`, `오래된 기억`, `기억 점검`, `기억 정리`, `메모리 업데이트`, `메모리 검사`, `메모리 점검`, `메모리 정리`, `맥락 점검`, `맥락 정리`, `맥락 피드백`, `등록된 맥락`, `헤르메스 기억`, `중복 스킬`, `나에 대해 잘못 알고`, `저장된 내 정보`, `너한테 저장된`, `저장된 프로필`, `기억 바로잡`, `메모리 인터뷰`, `기억 인터뷰`

Catalog Metadata

Category: memory Phase: curation-review Hermes role: memory-keeper Quality tier: workflow-surface-gated Reasoning demand: light

Quality bar:

  • Name the user-facing workflow objective, required context, next action, and stop condition.
  • Separate prepared guidance from observed platform, runtime, connector, file, memory, or delivery evidence.
  • Expose missing tools, credentials, targets, or observations as user-visible gaps.
  • State that Hermes-native and external provider/vector context is not_omh_reviewed, can nominate a candidate only, and may receive rendered OMH prefetch content through a configured Hermes runtime model request.
  • Send memory-provider lifecycle questions -- enabling, switching, pausing, retention, deletion, export, or failed synchronization -- to external-connector-readiness, which owns the provider posture this review cannot establish.

Handoff policy:

Keep this as Hermes-facing orchestration guidance first. Prepare executor, connector, gateway, or host-runtime handoff only when the user accepts that next step and observed evidence can be recorded.

Required inputs:

  • user request
  • target context
  • delivery or status expectation
  • known missing evidence

Expected outputs:

  • memory-sync/v1 card or guidance
  • next action
  • prepared-vs-observed boundary

Artifact expectations:

  • memory-sync/v1 metadata-only runtime or wrapper card when recorded

Safety rules:

  • A memory-sync review is prompt guidance only: no OMH surface invokes, applies, or observes a MEMORY.md or USER.md write. Applying a user-approved diff is Hermes's own act through its native memory tool — report it as an observed native write, never as OMH mutation evidence. Hermes-native and external provider/vector context is not_omh_reviewed and never inherits OMH approval.
  • Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.
  • Keep English as the canonical protocol; Korean routing triggers and concise Korean help labels remain available.
  • Quote claims only when observed, do not invent provenance, and keep the prepared native diff separate from any native write.
  • A memory_provider_posture/v1 block arrives as not_omh_reviewed context and a next-action handoff; it imports no provider record into OMH review and authorizes no native-memory mutation.

Runtime Evidence

Preferred harness for this skill: memory-sync.

sh
omh runtime record --skill memory-sync --harness memory-sync --status started

Record observed delegation results; otherwise return not_available or not_observed. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.

  • Treat wrapper memory/context summaries as advisory local context, not proof of opaque Hermes memory reads or changes. Preserve workflow intent and stop conditions; verify before claiming completion. Reply in the user's own words and the host's own voice: its SOUL.md persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a stop condition or a decision the user owns ends the turn, offer the next action as a question rather than declaring what will not be done.

Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.

Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.

© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/omh-memory-sync of rlaope/oh-my-hermes.

  • SKILL.md
  • references/source-recovery.md

Open the folder on GitHubat commit f772a94

Compare with similar skills

Omh Memory Sync next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Omh Memory Sync compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Omh Memory Sync this skillrlaope/oh-my-hermes3.2k—~4.1kAutomated safety check: PassMIT
Hermes Importsaffaan-m/ECC275k—~324Automated safety check: PassMIT
Hermes Importsaffaan-m/ECC275k1 repos~752Automated safety check: PassMIT
Inspecting Hermes Desktop DomNousResearch/hermes-agent252k1 repos~1.6kAutomated safety check: PassMIT
React Syncvercel/next.js143k—~486Automated safety check: PassMIT
Simplified Englishpaperclipai/paperclip99k—~392Automated safety check: PassMIT

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Questions about Omh Memory Sync

What does Omh Memory Sync do?

[omh] Outdated or wrong Hermes memory entries: English-canonical Hermes memory-review guidance: inspect USER.md and MEMORY.md claims and prepare a native write diff without invoking, applying, or…. Omh Memory Sync is an agent skill from rlaope/oh-my-hermes.md claims and prepare a native write diff without invoking, applying, or observing a native write; for a new fact use memory-new, and for a past decision use decision-recall.

When should I use Omh Memory Sync?

Omh Memory Sync fits situations like: the user says: memory-sync; memory curation; context cleanup.

How do I install Omh Memory Sync in Claude Code?

Run `npx skills add rlaope/oh-my-hermes --skill omh-memory-sync -a claude-code`. Or copy the skill folder (skills/omh-memory-sync in rlaope/oh-my-hermes) into .claude/skills/omh-memory-sync in your project. Claude Code loads it when a task matches its description.

How do I install Omh Memory Sync in Codex?

Run `npx skills add rlaope/oh-my-hermes --skill omh-memory-sync -a codex`. Or copy the skill folder (skills/omh-memory-sync in rlaope/oh-my-hermes) into .agents/skills/omh-memory-sync in your project. Codex loads it when a task matches its description.

Can I use Omh Memory Sync in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill omh-memory-sync -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omh-memory-sync, .gemini/skills/omh-memory-sync, .github/skills/omh-memory-sync and .opencode/skills/omh-memory-sync in your project.

What does Omh Memory Sync need to run?

SKILL.md names no scripts, command-line tools or credentials: Omh Memory Sync is instructions for the agent only.

Does Omh Memory Sync access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Omh Memory Sync safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Omh Memory Sync use?

Omh Memory Sync is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Omh Memory Sync use?

About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 874 tokens, read only when the agent opens those files.

What are the alternatives to Omh Memory Sync?

Skills that share tags, products or a category with Omh Memory Sync: Hermes Imports (affaan-m/ECC, 275k stars), Hermes Imports (affaan-m/ECC, 275k stars), Inspecting Hermes Desktop Dom (NousResearch/hermes-agent, 252k stars) and React Sync (vercel/next.js, 143k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Omh Memory Sync?

rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,207 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 8, 2026.

Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.