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
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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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。
# 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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