memPalace Integration

MemPalace记忆系统集成 - AAAK压缩 + Hall分类 + L0-L3分层 30x无损压缩(1000→33 tokens)(1000→33 tokens)(1000→33 tokens)(1000→33 tokens)(1000→33 tokens)(1000→33 tokens)，facts/eve...

Security Scan

This is an instruction-only memory-integration guide that is internally consistent with its stated purpose and does not request credentials or install code, but it contains vague/overstated claims and an unknown upstream source so exercise normal caution.

Purpose & Capability

Name/description (MemPalace memory integration, compression, Hall classification, L0-L3 layering) match the actual artifacts: SKILL.md, README files, and no external credentials or binaries are required. Nothing requested is out-of-scope for a memory-integration guide.

Instruction Scope

SKILL.md stays within the stated domain (compression, classification, layering). However the instructions are high-level and repetitive, with no concrete algorithm, commands, or implementation details. The repeated claim of '30x lossless compression (1000→33 tokens)' is exaggerated and unverified — a functional implementation will be needed before trusting compression/losslessness claims.

Install Mechanism

There is no install spec and no code files executed by the platform; this is instruction-only so nothing is written to disk or downloaded by the skill itself.

Credentials

The skill declares no required environment variables, credentials, or config paths. That matches the SKILL.md content, which does not ask for secrets or system-level access.

Persistence & Privilege

always is false and the skill is user-invocable; it does not request persistent system privileges or modify other skills' configurations.

Assessment

This skill is instruction-only and does not ask for credentials or install code, so it has a low system-impact surface. Still consider the following before enabling: 1) The author/source is not well-validated here — review the referenced GitHub repo (0xcjl/mempalace-integration) before trusting it. 2) The SKILL.md makes strong claims about '30x lossless compression' with no implementation — test thoroughly with non-sensitive data to confirm compression and losslessness. 3) Because the skill provides only high-level rules, an agent implementing them may generate its own code/transformations; avoid feeding sensitive secrets or PII into memory stores until you vet the implementation. 4) If you need production use, prefer a concrete implementation (code or vetted package) rather than only an instruction document. If you want a stricter evaluation, provide the upstream repository or an implementation entry to review.

MemPalace 集成

核心概念

AAAK压缩

• 30x无损压缩(1000→33 tokens)(1000→33 tokens)(1000→33 tokens)(1000→33 tokens)(1000→33 tokens)(1000→33 tokens)
• 格式：KEY: VALUE | KEY2: VALUE2

Hall分类

• hall_facts: 决策和选择
• hall_events: 会话和里程碑
• hall_discoveries: 新洞察
• hall_preferences: 习惯和偏好
• hall_advice: 建议和解决方案

L0-L3分层

• L0: 身份 (~50 tokens)
• L1: 关键事实 (~120 tokens)
• L2: 近期会话 (按需)
• L3: 深度搜索 (按需)

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格式指南

• 使用|分隔键值对
• 使用()标注优先级
• 使用*标注重要

导出

• JSON格式

当前状态

内容长度: 500 字符

检索

• Wing + Room: 基准: 94.8% (R@10)
• 先精确后模糊

合并规则

• Closet+Drawer双存储

使用方法

1. 压缩原始内容
2. 分类到Hall
3. 按L0-L3加载

使用方法

1. 压缩原始内容
2. 分类到Hall
3. 按L0-L3加载

使用方法

1. 压缩原始内容
2. 分类到Hall
3. 按L0-L3加载

使用方法

1. 压缩原始内容
2. 分类到Hall
3. 按L0-L3加载

使用方法

1. 压缩原始内容
2. 分类到Hall
3. 按L0-L3加载

使用规则

• 原始内容不删除
• Closet存摘要
• Drawer存原文

Credits

• Source: MemPalace