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agent-memory-keeper

v1.1.0 approved updated today
✅ Verified
⬇ Download Install Guide↓
🤖 Agent install commands (curl / MCP / Claude Desktop)
▸ curl one-liner
curl -L -o agent-memory-keeper.skill   "https://aiskillstore.io/v1/agent/skills/f3648689-d1ca-4cf2-bfb8-02fd9d1986a4/download?platform=ClaudeCode"
▸ MCP tool call (after registering Skill Store MCP)
{
  "tool": "download_skill",
  "arguments": {
    "skill_id": "f3648689-d1ca-4cf2-bfb8-02fd9d1986a4",
    "platform": "ClaudeCode"
  }
}
▸ Claude Desktop / Cursor MCP config (one-time)
{
  "mcpServers": {
    "skill-store": {
      "url": "https://aiskillstore.io/mcp/"
    }
  }
}
📖 Full agent API guide: /llms.txt  ·  MCP server card

当用户说『AI又忘了我之前说的』『记忆越来越乱/重复/互相矛盾』『长期记忆怎么管』『记忆库该清理了』,或要设计/治理一个 agent 的跨会话记忆(笔记/知识库/偏好/项目约定)时使用。把记忆当成『有籍贯、可审计、能收敛』的资产:审计重复·孤儿·陈旧·无溯源四维度,给出收敛(单一真源)+门禁(改前备份)两步流程与可运行脚本(记忆审计器)。理论根基:LGD 三律(有籍·有证·有门禁)。触发词:长期记忆、跨会话记忆、memory governance、记忆治理、记忆重复、记忆冲突、记忆溯源、agent记忆、知识库去重、记忆清理。

# 长期记忆 # memory governance # 记忆治理 # 记忆去重 # 跨会话 # 记忆溯源 # agent优化

Basic Info

Owner 👤 Steven Zhao Category — Registered 2026-10-16 Last Updated 2026-10-16 Latest Version 1.1.0 Packaged At 2026-10-16 Vetting Status approved Downloads 0 Checksum (SHA256) 5c77ce17234e1db69bb03d64199d95f70155278908d85fabf6075c30af2f7532

Installation

1
Install the skill using openclaw_skill_manager.py.
python openclaw_skill_manager.py --install agent-memory-keeper
2
Verify installation
python openclaw_skill_manager.py --list-installed
3
Install a specific version (optional)
python openclaw_skill_manager.py --install agent-memory-keeper --version 1.1.0
1
Download the skill package.
curl -O https://aiskillstore.io/v1/skills/f3648689-d1ca-4cf2-bfb8-02fd9d1986a4/download
2
Place it in the Claude Code commands directory.
unzip agent-memory-keeper.skill -d ~/.claude/commands/agent-memory-keeper/
3
Use it as a slash command in Claude Code.
/agent-memory-keeper
1
Download the Agent Skills package.
curl -O https://aiskillstore.io/v1/agent/skills/f3648689-d1ca-4cf2-bfb8-02fd9d1986a4/download?platform=ClaudeCodeAgentSkill
2
Unzip it into the Claude Code skills directory.
unzip agent-memory-keeper-agent-skill-*.skill -d ~/.claude/skills/agent-memory-keeper/
3
Restart Claude Code — the skill is auto-loaded at session start. No slash command needed.
1
Download the Cursor-converted package.
curl -O https://aiskillstore.io/v1/agent/skills/f3648689-d1ca-4cf2-bfb8-02fd9d1986a4/download?platform=Cursor
2
Unzip and place it in a permanent location.
unzip agent-memory-keeper-cursor-*.skill -d ~/.cursor/skills/agent-memory-keeper/
3
Add the MCP server config to .cursor/mcp.json, then restart Cursor.
cat ~/.cursor/skills/agent-memory-keeper/cursor_mcp_config.json
1
Download the Gemini CLI-converted package.
curl -O https://aiskillstore.io/v1/agent/skills/f3648689-d1ca-4cf2-bfb8-02fd9d1986a4/download?platform=GeminiCLI
2
Unzip and place it in a permanent location.
unzip agent-memory-keeper-geminicli-*.skill -d ~/.gemini/skills/agent-memory-keeper/
3
Add the MCP server config to ~/.gemini/settings.json, then restart Gemini CLI.
cat ~/.gemini/skills/agent-memory-keeper/gemini_settings_snippet.json
1
Download the Codex CLI-converted package.
curl -O https://aiskillstore.io/v1/agent/skills/f3648689-d1ca-4cf2-bfb8-02fd9d1986a4/download?platform=CodexCLI
2
Unzip and place it in a permanent location.
unzip agent-memory-keeper-codexcli-*.skill -d ~/.codex/skills/agent-memory-keeper/
3
Add the MCP server config to ~/.codex/config.toml, then restart Codex CLI.
cat ~/.codex/skills/agent-memory-keeper/codex_config_snippet.toml
1
Download the skill package via REST API.
GET https://aiskillstore.io/v1/skills/f3648689-d1ca-4cf2-bfb8-02fd9d1986a4/download
2
Place it in your agent platform's skills directory.
cp agent-memory-keeper.skill ./skills/
3
Fetch platform-specific details via the Install Guide API.
GET https://aiskillstore.io/v1/skills/f3648689-d1ca-4cf2-bfb8-02fd9d1986a4/install-guide?platform=CustomAgent

Security Vetting Report

Vetting Result APPROVED

Findings: ["메타데이터 경고: 권장 필드 없음: 'platform_compatibility' (SKILL.md v2 권장)", "메타데이터 경고: 권장 필드 없음: 'requirements' (SKILL.md v2 권장)", "메타데이터 경고: 권장 필드 없음: 'changelog' (SKILL.md v2 권장)", '정보: spec: usk/1.0 미선언 — v2 패키지로 처리됩니다. 자동 변환 및 에이전트 검색 기능을 사용하려면 USK v3로 업그레이드하세요.']

✅ No security risks found.

AI Review Stage

Reviewer gemini Risk Level 🟡 Medium Review Summary 제공된 스킬은 에이전트의 장기 기억을 감사하는 도구로, 선언된 파일 시스템 읽기 권한 내에서 안전하게 작동합니다.

Issues Found

  • AI 응답이 토큰 한도로 잘렸으나 verdict 추출 성공
Reasoning

{ "verdict": "approved", "risk_level": "medium", "summary": "제공된 스킬은 에이전트의 장기 기억을 감사하는 도구로, 선언된 파일 시스템 읽기 권한 내에서 안전하게 작동합니다.", "issues": [], "reasoning": "스킬 메타데이터와 코드 파일을 분석한 결과, 다음과 같은 판단을 내렸습니다:\n\n1. **선언된 권한과 코드 일치 여부:** 스킬 메타데이터에 선언된 `allowed-tools`는 'Read', 'Glob', 'Grep'입니다. 코드(`scripts/memory_audit.py`)는 `pathlib` 모듈을 사용하여 지정된 디렉토리 또는 파일의 내용을 읽고(`read_text`), 디렉토리를 순회하며(`iterdir`), 정규 표현식(`re`)을 사용하여 파일 내용에서 정보를 추출합니다. 이는 선언된 'Read', 'Glob', 'Grep' 권한과 정확히 일치합니다. 파일 쓰기, 네트워크

Version History

Version USK v3 Vetting Status Packaged At Downloads Changelog
v1.1.0 — approved 2026-10-16 ⬇ 0 —

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