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Atomic Memory Manager

作者 omaression · GitHub ↗ · v1.0.0-alpha · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install atomic-memory-manager
功能描述
Recall and write workspace memory for OpenClaw agents using MEMORY.md, memory/YYYY-MM-DD.md, memory_search, and memory_get. Use when the user asks about prio...
使用说明 (SKILL.md)

Memory Management

Retrieve first. Write only what should persist.

Core model

  • MEMORY.md — curated long-term memory
  • memory/YYYY-MM-DD.md — daily notes and running context
  • memory_search — find likely snippets
  • memory_get — read exact lines needed

Retrieval

When user asks about prior work, decisions, dates, people, preferences, or todos:

  1. memory_search with a tight, specific query.
  2. memory_get for the needed lines only.
  3. Answer from retrieved text, not guesswork.
  4. If results are weak or empty, say you checked.

Good queries: omar internship goal fall 2026, notion workspace page id Bad queries: whole paragraphs, vague terms like memory

Writing

Write when user says "remember this," states a durable preference, or makes a decision that matters later.

Destination What goes there
MEMORY.md Standing preferences, durable facts, recurring workflows, important long-term decisions
memory/YYYY-MM-DD.md Day-to-day notes, progress, one-off events, session context

Rules:

  • smallest useful note
  • concrete facts over commentary
  • no secrets unless asked
  • do not promise memory unless written

When not to use

Skip retrieval when the answer is in the current message or task is current-turn only. Skip writing when the fact is trivial, belongs in project docs, or is temporary scratch.

Answering rules

  • Cite file path/line when useful
  • Separate memory facts from inference
  • Flag stale memory
  • If unavailable, say so
安全使用建议
This skill is coherent and low-risk relative to its stated purpose. It is instruction-only, so it won't install code, but if invoked the agent will read and write memory files in your workspace (MEMORY.md and memory/YYYY-MM-DD.md). Before using it: (1) avoid asking the agent to 'remember' secrets (the instructions say 'no secrets unless asked' but will follow user requests), (2) confirm how memory_search/memory_get are implemented on your platform and whether those memory files are backed up or visible to others, and (3) periodically review the MEMORY.md and memory/ files to remove any sensitive or stale entries.
功能分析
Type: OpenClaw Skill Name: atomic-memory-manager Version: 1.0.0-alpha The skill bundle defines a standard memory management system for an OpenClaw agent, utilizing markdown files (MEMORY.md and daily logs) to store and retrieve workspace context. The instructions in SKILL.md are well-structured, focusing on retrieval-augmented generation (RAG) patterns and data persistence without any evidence of malicious intent, data exfiltration, or unauthorized command execution.
能力评估
Purpose & Capability
Name/description match the instructions: it explains when to retrieve and when to write workspace memory files (MEMORY.md and memory/YYYY-MM-DD.md) and references memory_search/memory_get. It does not request unrelated binaries, env vars, or config paths.
Instruction Scope
Instructions stay within the stated purpose: use memory_search and memory_get for retrieval and write small durable notes to MEMORY.md or daily files. They explicitly avoid secrets unless asked and ask the agent to cite file paths. Note: this is purely procedural (no implementation included) and assumes platform-provided memory_search/memory_get primitives; it also relies on the agent not being asked to store secrets — if a user asks the agent to 'remember' sensitive data, those instructions could cause sensitive data to be written to workspace files.
Install Mechanism
Instruction-only skill with no install spec or downloaded code; nothing is written to disk by the skill itself beyond what the agent is instructed to do at runtime.
Credentials
The skill requests no environment variables, credentials, or config paths — proportional to its goal of managing local workspace memory.
Persistence & Privilege
always:false and user-invocable:true. The skill instructs the agent to write files in the workspace (expected for a memory manager) but does not request global system changes or other skills' configurations.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install atomic-memory-manager
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /atomic-memory-manager 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0-alpha
Initial release of memory-management skill for OpenClaw agents. - Enables recall and writing of workspace memory using structured files and search tools. - Distinguishes between long-term (`MEMORY.md`) and daily (`memory/YYYY-MM-DD.md`) memory storage. - Guides retrieval with focused queries and requires citing sources when answering. - Sets strict rules on when and what to write or retrieve, ensuring durable and relevant memory use. - Outlines clear cases when memory retrieval or writing should be skipped.
元数据
Slug atomic-memory-manager
版本 1.0.0-alpha
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Atomic Memory Manager 是什么?

Recall and write workspace memory for OpenClaw agents using MEMORY.md, memory/YYYY-MM-DD.md, memory_search, and memory_get. Use when the user asks about prio... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 202 次。

如何安装 Atomic Memory Manager?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install atomic-memory-manager」即可一键安装,无需额外配置。

Atomic Memory Manager 是免费的吗?

是的,Atomic Memory Manager 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Atomic Memory Manager 支持哪些平台?

Atomic Memory Manager 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Atomic Memory Manager?

由 omaression(@omaression)开发并维护,当前版本 v1.0.0-alpha。

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