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minimal-memory最小内存

Agent Skill

minimal-memory 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

25,080

周安装

1,045

GitHub Stars

公开资料未说明

下载量

8,360
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:minimal-memory(最小内存)
来源仓库:https://github.com/zencrust-ai/minimal-memory
安装命令:
openclaw skills install minimal-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 minimal-memory

简介

通过将条目标记为“好”、“坏”或“中”,将必需的内容存储在 MEMORY.md 和每日日志中,以便高效搜索和清理,从而维护有条理的代理内存。

SKILL.md

name
minimal-memory
description
Maintain clean, efficient memory files with GOOD/BAD/NEUTRAL categorization and semantic search. Use when managing agent memory, deciding what to store, searching past memories, or organizing knowledge. Triggers on: memory cleanup requests, "remember this", "search memory", memory organization discussions, or when MEMORY.md grows too large.

Minimal Memory Management

Keep agent memory lean, searchable, and actionable through structured categorization and two-tier storage.

Core Principle

MEMORY.md = Long-term essentials (GOOD/BAD learnings only) memory/YYYY-MM-DD.md = Daily operations (GOOD/BAD/NEUTRAL tagged)

Information Categorization

Tag every memory entry with its value:

TagMeaningKeep in MEMORY.md?Example
[GOOD]Worked well, repeat✅ Yes[GOOD] CSV batch format prevents duplicates
[BAD]Failed, avoid✅ Yes[BAD] Bird CLI blocked by X anti-automation
[NEUTRAL]Facts, context, state❌ No[NEUTRAL] Day 5 of 30-day media plan

Writing Rules

  1. Always tag new entries in daily files
  2. Be specific: What worked/failed and why
  3. One tag per entry - pick the strongest category
  4. NEUTRAL expires: Archive after 30 days unless promoted to GOOD/BAD

What Goes Where

MEMORY.md (Categorized Learnings)

Keep under 150 lines. Only GOOD and BAD entries:

## GOOD - What Works
- `[GOOD]` Cron jobs with CSV batching = zero duplicates
- `[GOOD]` Browser tool > CLI for X.com automation
- `[GOOD]` Moltbook "crypto" submolt for token posts

## BAD - What to Avoid  
- `[BAD]` Never use bird CLI for X (anti-bot blocks it)
- `[BAD]` Don't post identical content across platforms

memory/YYYY-MM-DD.md (Daily Log)

All three categories with full context:

# 2026-02-15

## [GOOD]
- Fixed duplicate posting with 4-batch CSV structure
- Created 10 cron jobs for complete automation

## [BAD]  
- Old CSV format caused content duplication (now deprecated)

## [NEUTRAL]
- Day 5 of 30-day media plan
- Posted $ZEN token shill at 07:00 batch

Quick Commands

Search Memory

# Search all memory files
~/.openclaw/skills/minimal-memory/scripts/search.sh "duplicate posting"

# Search only GOOD learnings
~/.openclaw/skills/minimal-memory/scripts/search.sh --good "CSV"

# Search only BAD learnings  
~/.openclaw/skills/minimal-memory/scripts/search.sh --bad "CLI"

# Recent entries only (last 7 days)
~/.openclaw/skills/minimal-memory/scripts/search.sh --recent "cron job"

Daily Memory

# Create today's memory file with template
~/.openclaw/skills/minimal-memory/scripts/daily.sh

# Add entry with auto-tagging
~/.openclaw/skills/minimal-memory/scripts/add.sh GOOD "Browser tool works better than CLI"

Cleanup

# Review and migrate GOOD/BAD to MEMORY.md
~/.openclaw/skills/minimal-memory/scripts/cleanup.sh

# Archive old NEUTRAL entries (>30 days)
~/.openclaw/skills/minimal-memory/scripts/archive.sh

Workflow

When Writing a Memory

  1. Tag it: Is this GOOD, BAD, or NEUTRAL?
  2. Write to daily file with tag prefix
  3. Weekly review: Promote GOOD/BAD to MEMORY.md
  4. Archive NEUTRAL after 30 days

When Searching

  1. Use search script for fast grep across all files
  2. Check MEMORY.md first for established patterns
  3. Fall back to daily files for specific context
  4. Prefer recent entries unless looking for historical

Weekly Cleanup

  1. Read last 7 days of daily files
  2. Extract [GOOD] and [BAD] entries
  3. Add to MEMORY.md "GOOD" and "BAD" sections
  4. Remove duplicates, condense similar items
  5. Ensure MEMORY.md < 150 lines

Anti-Patterns

Don't skip tagging - every entry needs a category ❌ Don't put NEUTRAL in MEMORY.md ❌ Don't let MEMORY.md grow past 200 lines ❌ Don't keep NEUTRAL entries forever (30 day max) ❌ Don't create topical files - use daily + search

Do search before asking user "did we try this?" ✅ Do migrate GOOD/BAD weekly ✅ Do be specific in failure/success descriptions ✅ Do trust the search script to find context

Migration from Old System

If MEMORY.md has untagged content:

  1. Read entire MEMORY.md
  2. Categorize each entry: GOOD/BAD/NEUTRAL
  3. Move NEUTRAL to appropriate daily file
  4. Keep GOOD/BAD in MEMORY.md with tags
  5. Future entries: always tag in daily files first

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

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

OpenClaw

85.57%
按下载量换算7,154

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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