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chronicle-monograph-memory编年史专着记忆

Agent Skill

chronicle-monograph-memory 用于辅助部署、云资源、容器和基础设施运维,适合在 OpenClaw 中需要检查配置、整理部署步骤或排查环境问题时使用。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。

总安装

8,491

周安装

361

GitHub Stars

1

下载量

2,975
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:chronicle-monograph-memory(编年史专着记忆)
来源仓库:https://github.com/gabe-luv-nancy/chronicle-monograph-memory
安装命令:
openclaw skills install chronicle-monograph-memory
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 chronicle-monograph-memory

简介

chronicle-monograph-memory 提供 AI 增强记忆系统支持,适用于部署、云资源管理与基础设施运维场景。

  • 具备工具成功跟踪、项目检查点记录与失败计划回溯等功能,提升复杂任务的可控性。
  • 通过 clawhub 安装后集成到 OpenClaw 工作流,需结合具体运维脚本与环境变量配置使用。
  • 使用前应确认存储后端可用性与权限设置,避免日志丢失或访问受限导致功能异常。
  • 该技能侧重过程记录与知识沉淀,不直接执行系统操作,建议配合监控工具使用。

SKILL.md

Hippocampus

"AI is meant to FIX human memory flaws, why learn human decay?"

Philosophy

Traditional memory = Human memory imitation = DECAY = WRONG

Hippocampus FIXES human memory flaws:

  • Forgetting → Perfect recall
  • Fuzzy matching → Precise timestamps
  • Passive triggers → Proactive warnings
  • Importance decay → Never lose anything

Features

FeatureDescription
No DecayAI never forgets
Micro-Macro WorkflowsShort command → full workflow
Proactive TriggersAutomatically loads relevant memory when keywords appear
CheckpointsKnow exactly where project left off
Success TrackingRemember what works / fails
Failure WarningProactive pattern detection
Knowledge GraphNetworked memory

Setup (REQUIRED!)

After installing, run initialization:

cd /path/to/hippocampus
python3 scripts/memory.py init

Then verify:

python3 scripts/memory.py status

Commands

CommandDescription
/hippo initInitialize DB and directories
/hippo statusView memory status
/hippo saveSave current context
/hippo recall <keyword>Precise recall
/hippo checkpointSave project state
/hippo warnCheck failure patterns
/hippo graphView knowledge graph
/hippo learn-workflowRegister a micro→macro workflow
/hippo workflowsList all registered workflows
/hippo forget-workflowRemove a workflow
/hippo triggersList keyword triggers
/hippo add-triggerAdd a proactive trigger
/hippo remove-triggerRemove a trigger
/hippo readingbetweenthelines察言观色 status and config
/hippo readingbetweenthelines-statShow current word counts
/hippo readingbetweenthelines-clearReset word counts
/hippo add-instantAdd instant trigger
/hippo remove-instantRemove instant trigger
/hippo add-thresholdAdd threshold trigger
/hippo remove-thresholdRemove threshold trigger
/hippo configShow / reload config
/hippo analyzeAnalyze all memory

Micro-Macro Workflows

Teach hippocampus your shortcuts:

/hippo learn-workflow deploy -> When I say "deploy", run: git push, then run tests, then notify team via slack
/hippo learn-workflow send report -> When I say "send report", compile weekly data, format as markdown, send via email

When you later say "deploy" or "send report", hippocampus will retrieve the full workflow automatically.

List all registered workflows:

/hippo workflows

Proactive Keyword Triggers

Configure hippocampus to automatically load relevant memories when you mention certain topics:

/hippo add-trigger database -> database-architecture
/hippo add-trigger api -> api-design

Now when your message contains "database" or "api", hippocampus loads the associated memory before answering — no need to manually recall.

List active triggers:

/hippo triggers

Configure triggers manually in USER_CONFIG.md:

PROACTIVE_KEYWORDS = database->database-architecture,api->api-design

察言观色 — ReadingBetweenTheLines

Proactive memory loading based on sustained conversation patterns. When you discuss a topic repeatedly, hippocampus automatically loads relevant memories.

Two trigger types:

Instant: fires immediately when a high-signal keyword appears (error, deploy, database...) Threshold: fires only after a word appears N times within a sliding window (project→5, api→4, config→4...)

Commands:

/hippo readingbetweenthelines         Show status and config
/hippo readingbetweenthelines-stat    Show current word counts in window
/hippo readingbetweenthelines-clear   Reset word counts
/hippo add-instant error -> error-patterns     Add instant trigger
/hippo add-threshold project -> 5              Add threshold trigger

How it works: Heartbeat runs every N minutes (default 1). Analyzes recent user messages, removes stop words, counts meaningful words. If a trigger keyword meets its condition, the associated memory is loaded before answering.

Configuration (USER_CONFIG.md):

READINGBETWEENTHELINES_ENABLED = true
INSTANT_TRIGGERS = error->error-patterns,database->database-architecture
THRESHOLD_TRIGGERS = project->5,api->4,config->4
TRIGGER_COOLDOWN = 5   # minutes before reloading same memory

Two Memory Types

Chronicle — Temporal memory for everyday interactions

  • Auto-saves session content, indexed by time

Monograph — Important topics with rich metadata

  • Stores significant decisions, workflows, patterns
  • Created via /hippo checkpoint or /hippo recall saves

Proactive Recall (How It Works)

When PROACTIVE_TRIGGERS_ENABLED = true in USER_CONFIG.md:

  1. Before each response, hippocampus scans your message
  2. If a trigger keyword is found, it loads the associated memory file
  3. The loaded memory is prepended to context for this response
  4. You get relevant context without asking for it

This is configured via PROACTIVE_KEYWORDS in USER_CONFIG.md.

Version

1.0.3

适合场景

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能力概览

能力 1

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能力 2

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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

OpenClaw

70.44%
按下载量换算2,096

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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