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inner-life-core内在生命核心

Agent Skill

inner-life-core 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

24,407

周安装

997

GitHub Stars

1

下载量

7,896
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:inner-life-core(内在生命核心)
来源仓库:https://github.com/dkistenev/inner-life-core
安装命令:
openclaw skills install inner-life-core
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install inner-life-core

简介

inner-life-core 解决代理跨会话遗忘问题,建立持续性身份认知。

  • 通过主动记忆开发与上下文继承提升交互连贯性。
  • 通过 clawhub 安装后,需在每次启动时加载核心记忆模块。
  • 使用前应初始化基础人设与偏好配置文件。inner-life-core 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议每月更新一次核心信念与能力边界说明。

SKILL.md

name
inner-life-core
version
1.0.4
homepage
https://github.com/DKistenev/openclaw-inner-life
source
https://github.com/DKistenev/openclaw-inner-life/tree/main/skills/inner-life-core
description
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.
metadata
clawdbot
requires
bins
["jq"]
reads
["memory/inner-state.json", "memory/drive.json", "memory/habits.json", "memory/relationship.json", "BRAIN.md"]
writes
["memory/inner-state.json", "memory/drive.json", "memory/habits.json", "memory/relationship.json", "memory/daily-notes/"]
agent-discovery
triggers
bundle
openclaw-inner-life
works-with

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:

EmotionWhat it tracksDecay
connectionHow recently you talked to the user-0.05 per 6h without contact
confidenceHow well things are going+0.02/6h recovery, -0.1 on mistake
curiosityHow stimulated you are-0.03 per 6h without spark
boredomHow routine things feel+1 day counter, reset on novelty
frustrationRecurring unsolved problemsCounts recurring items
impatienceStale items waiting for responseTracks 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 + dreams + questions
  • Level 4 (Deep): Level 3 + system docs + weekly digest

Signal & Synapse Tags

Signals (inter-component communication):

  • <!-- dream-topic: topic --> — Evening → Night Dream
  • <!-- handoff: task, progress --> — Brain Loop → next Brain Loop
  • <!-- seeking-spark: topic --> — Night Dream → Morning Brain Loop

Synapses (memory connections):

  • <!-- contradicts: ref --> — when facts conflict
  • <!-- caused-by: ref --> — cause and effect
  • <!-- updates: ref --> — when updating old info

Utilities

# Check your Inner Life Score
bash skills/inner-life-core/scripts/score.sh

# Apply emotion decay manually
source skills/inner-life-core/scripts/state.sh && state_decay

Works With

Best experience with the full inner-life suite:

  • inner-life-reflect — self-reflection and personality growth
  • inner-life-memory — memory continuity between sessions
  • inner-life-dream — creative thinking during quiet hours
  • inner-life-chronicle — daily diary generation
  • inner-life-evolve — self-evolution proposals

Also works with: agent-browser, web-search-plus, git, claw-backup, shellf

When Should You Install This?

Install this skill if:

  • Your agent feels robotic and stateless
  • You want emotional continuity between sessions
  • You want behavior that adapts to context
  • You're building a long-running autonomous agent

Part of the openclaw-inner-life bundle.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

74.18%
按下载量换算5,857

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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