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inner-life-memory

Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active development — structured memories with confidence scores, curiosity tracking, and questions that carry forward.

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Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 inner-life-memory 技能。 若已安装,则直接安装 inner-life-memory 技能。

Overview

Skill Key
dkistenev/inner-life-memory
Author
dkistenev
Source Repo
openclaw/skills
Version
1.0.4
Source Path
skills/dkistenev/inner-life-memory
Latest Commit SHA
26660e9fa68f07362ce8a0ad98765fdddd1e1e60

Extracted Content

SKILL.md excerpt

# inner-life-memory

> Transform passive logging into active development.

Requires: **inner-life-core**

## Prerequisites Check

Before using this skill, verify that inner-life-core has been initialized:

1. Check that `memory/inner-state.json` exists
2. Check that `memory/drive.json` exists

If either is missing, tell the user: *"inner-life-core is not initialized. Install it with `clawhub install inner-life-core` and run `bash skills/inner-life-core/scripts/init.sh`."* Do not proceed without these files.

## What This Solves

**Without memory continuity:**
```
Session ends → Notes logged → Next session reads notes → Performs familiarity
```

**With inner-life-memory:**
```
Session ends → Reflection runs → Memories integrated → Questions generated
Next session → Evolved state loaded → Questions surfaced → Genuine curiosity
```

## Post-Session Flow

After each session, run this 5-step reflection:

### 1. Reflect
Analyze the session: what happened, what mattered, what surprised you.

### 2. Extract
Pull structured memories with types and confidence:

| Type | Description | Persistence |
|------|-------------|-------------|
| `fact` | Declarative knowledge | Until contradicted |
| `preference` | Likes, dislikes, styles | Until updated |
| `relationship` | Connection dynamics | Long-term |
| `principle` | Learned guidelines | Stable |
| `commitment` | Promises, obligations | Until fulfilled |
| `moment` | Significant episodes | Permanent |
| `skill` | Learned capabilities | Cumulative |
| `question` | Things to explore | Until resolved |

### 3. Integrate
Update MEMORY.md with extracted memories. Use synapse tags for connections:
- `<!-- updates: previous fact -->` when updating
- `<!-- contradicts: old belief -->` when correcting

### 4. Question
Generate genuine follow-up questions from the session. Not performative — real curiosity.

### 5. Surface
When user returns, present relevant pending questions naturally (max 3).

## Confidence Scores

| Level | Range | Mea...

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