OpenClaw Memory Migrator

SKILL运维和基础设施
运维和基础设施 未标注权限 许可证不明确
安装这个技能

面向希望从第三方记忆后端迁回 OpenClaw 官方 memory-core 的用户,提供安全、可验证的迁移流程。通过 dry-run、精确数量对账、完整性可见的重复审计、结构化修复指引、可审阅 Markdown 暂存和回滚闸门,在切槽前发现导出截断、scope 遗漏及召回风险。

一句话选型结论

按资料字段整理

OpenClaw Memory Migrator是运维和基础设施类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类运维和基础设施 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_2eb03758/openclaw-memory-migrator
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

运维和基础设施
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_2eb03758仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791625304
正文体量8.5 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查服务与日志

按现象定位服务状态与日志线索。

写部署与巡检脚本

把重复的部署、巡检写成脚本。

故障排查

按步骤排查网络、依赖与配置。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在运维和基础设施场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
OpenClaw Memory Migrator当前 未标注权限 未标注 未标注 未标注 有
Azure 部署 调用外部服务 GitHub 仓库 664.2 万 Codex、Claude、Cursor 有
Azure diagnostics 问题管理 调用外部服务 GitHub 仓库 657.6 万 Codex、Claude、Cursor 有
Azure aigateway 部署 调用外部服务 GitHub 仓库 655.3 万 Codex、Claude、Cursor 有
Azure AI 搜索 调用外部服务 GitHub 仓库 651.4 万 Codex、Claude、Cursor 有
Azure Cloud migrate 部署 调用外部服务 GitHub 仓库 650.7 万 Codex、Claude、Cursor 有

SKILL.md 全文

8.5 KB
模型实际读到的说明书原文,来自技能仓库

OpenClaw Memory Migrator

Move the memory. Keep the proof.

Use this Skill when an owner wants a safer, verifiable, and practical path
from a third-party memory backend back to OpenClaw's official memory-core.

Safety rules

  1. Run only in an authenticated owner DM, Control UI, or local operator shell. Refuse execution from group or channel chats.
  2. Default to read-only discovery and --dry-run.
  3. Never copy source vectors into memory-core SQLite. Export authoritative text and metadata, then let memory-core rebuild derived indexes.
  4. Never delete a source database, SQLite file, WAL/SHM sidecar, Markdown file, or backup.
  5. Before writes, require a verified OpenClaw backup and a run-bound approval:
    APPROVE <ACTION> <RUN_ID>.
  6. A previous approval, an approval for another action, or an approval from another run is invalid.
  7. Stop on count, ID, hash, scope, agent, configuration, or capability drift.
  8. Keep state and reports outside indexed memory paths.
  9. Do not enable two dreaming writers during cutover.
  10. Do not publish logs or fixtures containing user memory, credentials, channel IDs, or personal data.

Supported paths

  • Stable: memory-lancedb-pro JSON capture to memory-core Markdown.
  • Stable: Markdown or QMD-owned Markdown to memory-core Markdown.
  • Beta: captured official memory-lancedb ltm list JSON to memory-core Markdown.
  • Unsupported: direct opaque LanceDB database parsing, vector transfer, arbitrary backend-to-backend sync.

Read references/compatibility.md before selecting an adapter.
For operator questions and copyable workflows, see
docs/faq.md and docs/recipes.md.

Workflow

1. Discover

Resolve rather than assume:

  • OpenClaw version and executable path
  • state directory, agents, workspaces, memory slot
  • source plugin version and CLI help
  • source scopes and record counts
  • memory-core availability
  • embedding provider/model/dimensions
  • dreaming jobs and maintenance window
  • free disk and backup destination

Run preflight against explicit export files. Keep the surrounding run directory
outside the workspace:

node bin/openclaw-memory-migrator.js preflight \
  --input export/global.json \
  --output canonical/memory-records.jsonl

If a required capability is unknown, stop. Do not invent a command.

2. Back up

Use the current OpenClaw backup CLI. A backup is accepted only when:

  • command exit is zero;
  • JSON reports verified: true;
  • the exact returned archivePath exists;
  • SHA-256 is recorded and verifies.

Also inventory source databases and configured agent roots. Follow
references/operations.md.

3. Export read-only

Select one adapter:

node bin/openclaw-memory-migrator.js normalize \
  --adapter lancedb-pro \
  --input export/global.json \
  --input export/main.json \
  --expected-total <trusted-snapshot-total> \
  --output canonical/memory-records.jsonl

For LanceDB Pro, inspect memory-pro export --help and export every non-empty
scope separately. Set an explicit limit only when that installed version
supports it. memory-lancedb-pro v1.1.0-beta.10 export is capped at 1,000
records; when a scope exceeds the detected cap, paginate memory-pro list
with --limit and --offset. Exported totals must equal the immediately
preceding scoped stats.

For QMD and Markdown, migrate the authoritative Markdown rather than QMD's
derived index. OpenClaw 2026.9.x retired QMD backend configuration, so use the
official Doctor migration where applicable rather than restoring legacy QMD
keys. Official LanceDB has no export command in verified 2026.9.x releases;
capture openclaw ltm list --agent <id> for every agent and wrap each array in
the versioned lancedb-official-list-beta manifest documented in
references/compatibility.md. Never reverse-engineer a live database.

4. Audit

node bin/openclaw-memory-migrator.js audit \
  --adapter canonical-v1 \
  --input canonical/memory-records.jsonl \
  --max-comparisons 10000 \
  --output reports/audit.json

Require:

  • source/export/canonical non-empty counts reconcile;
  • source IDs reconcile where the source supplies IDs;
  • no silent empty-text drops;
  • exact duplicates and approximate duplicate groups are reported;
  • secret-like metadata is rejected or redacted.

Always inspect completeness, approximate_comparisons.coverage, and
warnings. A truncated approximate scan is not a complete near-duplicate
conclusion. Use --require-complete-approximate when completeness is a gate.
Normal JSON remains on stdout; warnings and errors remain on stderr. Callers
that need structured errors can add --json-errors.

Deduplication is report-only in v0.1. Never delete automatically.

5. Render for memory-core

node bin/openclaw-memory-migrator.js render \
  --adapter canonical-v1 \
  --input canonical/memory-records.jsonl \
  --output staged-memory/imports/<source>

Render durable records separately from dated records. Do not append imports
directly to root MEMORY.md. Review generated Markdown before cutover.

6. Establish recall baseline

Create at least eight owner-approved queries covering:

  • durable identity or preference
  • recent event
  • source-only fact
  • multilingual/CJK phrase
  • operational rule
  • channel or agent-scoped fact

Record top-k source, score, latency, and expected evidence. Never index the
evaluation report as memory. Follow
docs/benchmark-methodology.md.

7. Request cutover approval

Write the proposed configuration diff, affected agents, backup SHA, manifest
SHA, baseline, rollback commands, and maintenance window into the run report.

Request exactly:

APPROVE CUTOVER <RUN_ID>

After receiving it, re-run preflight. If anything material changed, invalidate
the approval and generate a new run.

8. Cut over

Follow references/operations.md:

  1. Enable memory-core and validate a staged config.
  2. Disable the old memory writer and old dreaming schedules.
  3. Change the single memory slot.
  4. Restart through the verified service owner.
  5. Confirm channel and Gateway health before indexing.
  6. Build memory-core indexes for every configured agent.
  7. Run the baseline and source-only probes.

If health or recall gates fail, stop and request:

APPROVE ROLLBACK <RUN_ID>

9. Soak and retire

Keep source data cold and plugins disabled during the soak period. Verify
channels, indexes, recall, dreaming output, and long-term file diffs daily.

Request APPROVE PROMOTION <RUN_ID> before the first promotion-capable
dreaming run. Request APPROVE RETIRE <RUN_ID> before uninstalling plugins.
Retirement still preserves source data for the declared rollback window.

Report contract

Every phase report includes:

  • run ID, phase, timestamps, host fingerprint
  • versions, adapter, agents, scopes
  • backup path and SHA-256
  • source/export/canonical/rendered counts
  • duplicate and rejected-record counts
  • slot, indexing, channel, and recall status
  • rollback readiness, and separately whether a rollback rehearsal was executed
  • exact next approval or blocker

Never describe a partial or unverified result as successful.

常见问题

5 问
答案由本站依据条目字段整理
OpenClaw Memory Migrator怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_2eb03758/openclaw-memory-migrator。安装方式为未标注。装完刷新技能列表或重开客户端。

OpenClaw Memory Migrator支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

OpenClaw Memory Migrator权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

OpenClaw Memory Migrator收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

OpenClaw Memory Migrator用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

热门专题

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全部专题 →

技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。