Search

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 source installs☆ 0 Repository starsv1.0.4

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install dkistenev/inner-life-core

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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 +...

Source information

Source
github
Repository
openclaw/skills
Path
skills/dkistenev/inner-life-core
Version
1.0.4
Commit
a18634b4898277e5f10cd62a62e14b650786491f
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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 +...

Related skills

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...