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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.

dkistenev0 来源安装数☆ 0 仓库 Starsv1.0.4

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install dkistenev/inner-life-memory

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/dkistenev/inner-life-memory
Version
1.0.4
Commit
26660e9fa68f07362ce8a0ad98765fdddd1e1e60
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# 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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