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openclaw-memory-pipelineOpenClaw 记忆 pipeline

Agent Skill

openclaw-memory-pipeline 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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4,516

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-memory-pipeline(OpenClaw 记忆 pipeline)
来源仓库:https://github.com/maiusless/openclaw-memory-pipeline
安装命令:
openclaw skills install openclaw-memory-pipeline
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openclaw-memory-pipeline

简介

openclaw-memory-pipeline 用于自动化 Markdown 内存文件的安装、修复与验证流程。

  • 适合在 OpenClaw 中整理文档、README 等材料,建立结构化记忆工作流。
  • 通过 clawhub 安装,使用 openclaw skills install 命令,配合 cron 作业定期执行。
  • 安装前应检查文件系统权限,避免因路径错误导致内存更新失败。
  • 支持 OpenClaw 风格代理的持久化内存管理,提升信息组织效率。

SKILL.md

name
memory-pipeline
description
Install, repair, and validate a persistent memory workflow for OpenClaw-style agents using Markdown memory files plus recurring cron jobs. Use when setting up or fixing MEMORY.md / memory/ structures, adding inbox→raw→daily→weekly memory pipelines, creating or auditing memory-related cron jobs, defining how an agent should capture preferences, decisions, todos, project state, and long-term rules across sessions, or introducing structured memory folders such as memory/projects/ and memory/system/.

Memory Pipeline

Install and maintain a Markdown-based personal memory system with four layers:

  1. Capture layermemory/inbox.md for newly learned, high-value context
  2. Archive layer — hourly raw notes in memory/YYYY-MM-DD-raw.md
  3. Summary layer — daily highlights in memory/YYYY-MM-DD.md
  4. Long-term layerMEMORY.md plus optional structured topic files under memory/projects/, memory/system/, and memory/groups/

Prefer a curated memory workflow, not full transcript dumping. Default to recording preferences, decisions, todos, project state, lessons learned, and other details that will matter later.

Workflow decision tree

Use this skill in one of four modes:

1. Fresh install

Use when the workspace has no stable memory structure yet.

Do this:

  • read references/directory-layout.md
  • create the base files/directories
  • install all three cron jobs
  • run the acceptance checks from references/verification.md

2. Repair / audit

Use when memory files exist but the workflow is unreliable.

Do this:

  • read references/verification.md
  • identify whether the failure is in capture, hourly archive, daily summary, or weekly review
  • repair only the broken layer
  • rerun acceptance checks

3. Structured memory upgrade

Use when the user already has basic memory files but wants clearer separation of project rules, system rules, or group-specific context.

Do this:

  • read references/directory-layout.md
  • add memory/projects/, memory/system/, and memory/groups/
  • keep the existing inbox/raw/daily/MEMORY chain as the primary backbone
  • migrate only durable topic-specific material into the structured folders

4. Policy / behavior design

Use when the user wants to define what should be remembered, what should be ignored, or how dense memory capture should be.

Do this:

  • read references/memory-rules.md
  • set the default capture mode
  • define user-controlled overrides such as “remember this” / “don’t remember this”

Quick start

When asked to create or repair the memory system, read these references in order:

  1. references/directory-layout.md
  2. references/memory-rules.md
  3. references/cron-spec.md
  4. references/verification.md
  5. references/migration-and-repair.md when upgrading or repairing an existing setup

If the user wants the full workflow, create or verify all of the following:

  • MEMORY.md
  • memory/inbox.md
  • memory/YYYY-MM-DD-raw.md (created on demand)
  • memory/YYYY-MM-DD.md (created by daily summary job)
  • memory/projects/
  • memory/system/
  • memory/groups/
  • three cron jobs:

- hourly inbox → raw archive - daily raw/context → daily summary - weekly daily summaries → MEMORY.md

Core operating model

Use this memory flow:

conversation → memory/inbox.md → memory/YYYY-MM-DD-raw.md → memory/YYYY-MM-DD.md → MEMORY.md

Treat memory/projects/, memory/system/, and memory/groups/ as structured sidecars, not replacements for the main flow.

Capture policy

What goes into memory/inbox.md

Write to memory/inbox.md when the conversation reveals:

  • user preferences
  • important decisions
  • todos or reminders
  • project status changes
  • recurring workflow rules
  • corrections, mistakes, or lessons learned
  • context that will likely matter in a future session

Do not default to storing every message or full chat transcripts.

Default memory mode

Use concise / curated memory mode unless the user explicitly asks for higher-fidelity logging.

In concise mode:

  • summarize instead of quoting entire exchanges
  • prefer concrete facts over vague summaries
  • avoid duplicate entries
  • skip transient chatter with no future value

If the user says things like “remember this”, “记一下”, or asks to retain a whole exchange, increase capture density for that segment.

If the user says “don’t remember this” or “别记”, exclude that content from memory.

See references/memory-rules.md for the compact ruleset.

Structured memory directories

Use structured topic files when date-based notes are not enough.

memory/projects/

Store long-running project context here:

  • project background
  • milestones
  • confirmed approaches
  • known blockers
  • next-step context needed to resume work later

Examples:

  • memory/projects/159755-weekly-tracking.md
  • memory/projects/openclaw-browser.md

memory/system/

Store durable operating rules and environment-specific conventions here:

  • messaging preferences
  • browser workflow defaults
  • memory pipeline rules
  • tool-specific operating rules that remain true over time

Examples:

  • memory/system/telegram-rules.md
  • memory/system/browser-defaults.md
  • memory/system/memory-pipeline.md

memory/groups/

Use for group-specific context when the same agent participates in multiple group chats and needs separate social or project memory.

Recommended install order

When installing from scratch, use this order:

  1. create or verify MEMORY.md
  2. create memory/ and memory/inbox.md
  3. create memory/projects/, memory/system/, memory/groups/
  4. define the memory policy (concise by default unless user requests otherwise)
  5. install the hourly archive job
  6. test hourly archive with a seed item in memory/inbox.md
  7. install the daily summary job
  8. install the weekly long-term review job
  9. run the full acceptance checklist

Do not install only the daily/weekly jobs while leaving the capture layer undefined. The hourly job depends on reliable writes into memory/inbox.md.

Cron workflow

Install or repair these three jobs together unless the user explicitly wants only part of the pipeline.

1. Hourly archive job

Suggested name:

  • context: compress chat history (hourly)

Purpose:

  • read memory/inbox.md
  • process only ## pending
  • append the new content into memory/YYYY-MM-DD-raw.md
  • group entries under ## YYYY-MM-DD HH:00 Asia/Macau
  • merge into an existing same-hour section if present
  • deduplicate near-identical items
  • clear processed pending items afterward
  • stay silent (no user-visible message)

2. Daily summary job

Suggested name:

  • daily-memory-diary

Purpose:

  • create or update memory/YYYY-MM-DD.md
  • write only the 1–2 most important items from the day
  • keep the summary brief and specific
  • stay silent

3. Weekly long-term review job

Suggested name:

  • weekly-memory-review

Purpose:

  • review recent memory/YYYY-MM-DD.md files
  • extract durable preferences, decisions, recurring projects, and long-lived rules
  • update MEMORY.md
  • avoid copying one-off noise into long-term memory
  • stay silent

See references/cron-spec.md for a recommended spec and guardrails.

Verification and repair

When asked to verify or fix the system:

  1. check required files and directories exist
  2. check the three cron jobs exist and are enabled
  3. check recent run status for each job
  4. if the hourly job claims success, confirm that:

- inbox pending items were cleared or marked processed - the raw file actually received a new section or merged content

  1. if the daily job claims success, confirm the daily summary file exists and is non-empty
  2. if the weekly job claims success, confirm MEMORY.md was updated only with durable information

Common failure modes:

  • inbox exists but nothing is ever written into it
  • cron run reports ok but raw file was checked before the run actually finished
  • raw file is missing and the prompt forgot to require creating it
  • same-hour sections duplicate because merge logic was too brittle
  • daily or weekly jobs copy too much noise because memory rules were not explicit enough
  • structured folders exist but nothing routes into them because placement rules were never defined

Use references/verification.md for the validation checklist. Use references/migration-and-repair.md for upgrades and partial repairs.

Resource map

Scripts

  • scripts/init_memory_pipeline.py — create the base directory structure and seed core templates without overwriting existing files
  • scripts/verify_memory_pipeline.py — verify the workspace memory structure, inbox format, basic downstream artifacts, and best-effort cron health; checks expected cron names plus workspace-path fingerprints in cron payloads, and supports --skip-cron with configurable cron timeout for slower environments

References

  • references/directory-layout.md — file layout and what belongs where
  • references/memory-rules.md — concise memory policy and capture rules
  • references/cron-spec.md — three-job pipeline spec, naming, and recommended behavior
  • references/verification.md — acceptance checks and troubleshooting
  • references/migration-and-repair.md — how to upgrade an existing flat memory setup into this pipeline

Scope boundary

This skill is for a Markdown memory workflow backed by cron jobs.

Do not expand it into a separate external database or cloud memory product unless the user explicitly asks. Prefer keeping memory:

  • readable
  • editable by hand
  • stored in the workspace
  • aligned with the user’s existing MEMORY.md and memory/ workflow

适合场景

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用户想查找某类 Agent Skill 时

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需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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