搜索

PythonReactSEOPDF
OpenClaw

inner-life-core

Your agent forgets who you are between sessions. It gives the same responses every day. It doesn't grow. inner-life-core fixes that. Gives your OpenClaw agent emotions with half-life decay, a 9-step Brain Loop protocol, and structured state — the foundation for an inner life. Works standalone or with inner-life-* extension skills.

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-core

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-core

The foundation for an agent's inner life. Emotions, state, protocol.

What This Solves

Without inner-life-core, your agent:

  • Starts every session as a blank slate
  • Has no emotional continuity
  • Can't prioritize based on how things are going
  • Doesn't know when to reach out or stay quiet

With inner-life-core, your agent:

  • Tracks 6 emotions with realistic half-life decay
  • Follows a 9-step Brain Loop protocol
  • Routes behavior based on emotional state
  • Knows when to ask, when to act, when to stay silent

Setup

# Initialize state files
bash skills/inner-life-core/scripts/init.sh

This creates:

  • memory/inner-state.json — 6 emotions with decay rules
  • memory/drive.json — what the agent is seeking/anticipating
  • memory/habits.json — learned habits and user patterns
  • memory/relationship.json — trust levels and lessons
  • BRAIN.md — 9-step Brain Loop protocol
  • SELF.md — personality observation space
  • memory/questions.md — curiosity backlog
  • tasks/QUEUE.md — task queue

The Emotion Model

6 emotions with half-life decay:

Emotion What it tracks Decay
connection How recently you talked to the user -0.05 per 6h without contact
confidence How well things are going +0.02/6h recovery, -0.1 on mistake
curiosity How stimulated you are -0.03 per 6h without spark
boredom How routine things feel +1 day counter, reset on novelty
frustration Recurring unsolved problems Counts recurring items
impatience Stale items waiting for response Tracks days without action

Emotions drive behavior — see BRAIN.md Step 3 (Emotion-driven routing).

Context Protocol

4 levels of state reading, so each component reads only what it needs:

  • Level 1 (Minimal): Task-specific data only
  • Level 2 (Standard): inner-state + drive + daily notes + signals
  • Level 3 (Full): Level 2 + habits + relationship + diary +...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/dkistenev/inner-life-core
Version
1.0.4
Commit
a18634b4898277e5f10cd62a62e14b650786491f
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-core

> The foundation for an agent's inner life. Emotions, state, protocol.

## What This Solves

Without inner-life-core, your agent:
- Starts every session as a blank slate
- Has no emotional continuity
- Can't prioritize based on how things are going
- Doesn't know when to reach out or stay quiet

With inner-life-core, your agent:
- Tracks 6 emotions with realistic half-life decay
- Follows a 9-step Brain Loop protocol
- Routes behavior based on emotional state
- Knows when to ask, when to act, when to stay silent

## Setup

```bash
# Initialize state files
bash skills/inner-life-core/scripts/init.sh
```

This creates:
- `memory/inner-state.json` — 6 emotions with decay rules
- `memory/drive.json` — what the agent is seeking/anticipating
- `memory/habits.json` — learned habits and user patterns
- `memory/relationship.json` — trust levels and lessons
- `BRAIN.md` — 9-step Brain Loop protocol
- `SELF.md` — personality observation space
- `memory/questions.md` — curiosity backlog
- `tasks/QUEUE.md` — task queue

## The Emotion Model

6 emotions with half-life decay:

| Emotion | What it tracks | Decay |
|---------|---------------|-------|
| **connection** | How recently you talked to the user | -0.05 per 6h without contact |
| **confidence** | How well things are going | +0.02/6h recovery, -0.1 on mistake |
| **curiosity** | How stimulated you are | -0.03 per 6h without spark |
| **boredom** | How routine things feel | +1 day counter, reset on novelty |
| **frustration** | Recurring unsolved problems | Counts recurring items |
| **impatience** | Stale items waiting for response | Tracks days without action |

Emotions drive behavior — see BRAIN.md Step 3 (Emotion-driven routing).

## Context Protocol

4 levels of state reading, so each component reads only what it needs:

- **Level 1 (Minimal):** Task-specific data only
- **Level 2 (Standard):** inner-state + drive + daily notes + signals
- **Level 3 (Full):** Level 2 + habits + relationship + diary +...

相关技能

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

parakeet-stt

carlulsoe

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, o...

OpenClaw

feishu-process-feedback

carlzhao007

飞书消息自动处理与进度反馈技能。安装后后台运行,监听飞书任务消息并自动创建独立进程处理。 在处理前后发送实时进度反馈(任务确认、进度百分比、完成通知)。 支持任务类型识别、智能解析、错误重试、并发控制、状态持久化...