How do I install the Inner Life Memory skill?

Run npx skillmds@latest add dvcrn/inner-life-memory in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Inner Life Memory safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Inner Life Memory?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Inner Life Memory free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Inner Life Memory?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Inner Life Memory by dvcrn — Agent Skill

Name: Inner Life Memory
Rating: 4.2 (5 reviews)
Author: dvcrn

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.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

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:

Check that memory/inner-state.json exists
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:

 when updating
 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	Meaning
Explicit	0.95-1.0	User directly stated
Implied	0.70-0.94	Strong inference from context
Inferred	0.40-0.69	Pattern recognition
Speculative	0.0-0.39	Tentative, needs confirmation

Use confidence to decide when to state facts vs ask for confirmation.

Curiosity Backlog

Maintain memory/questions.md with three sections:

## Open Questions
- [question] — source: [dream/reading/work] — date

## Leads (half-formed ideas)
- [idea] — might connect to: [topic]

## Dead Ends (don't repeat)
- [topic] — explored [date], result: [nothing/dead end]

Rules:

Brain Loop Step 6 adds new questions/leads
Evening Session reviews and curates
Dead Ends older than 30 days → archive
Questions resolved → move to Dead Ends with result

State Integration

Reads: inner-state.json, drive.json, daily notes, diary

Writes:

drive.json → new seeking topics from curiosity
inner-state.json → curiosity.recentSparks when discovering something
questions.md → new questions, resolved dead ends
MEMORY.md → integrated memories

When Should You Install This?

Install this skill if:

Your agent forgets who you are between sessions
You want structured memory with confidence levels
You want genuine curiosity that carries forward
Your agent reads notes but doesn't truly remember

Part of the openclaw-inner-life bundle. Requires: inner-life-core

---name: inner-life-memorydescription: 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.---# inner-life-memory> Transform passive logging into active development.Requires: **inner-life-core**## Prerequisites CheckBefore using this skill, verify that inner-life-core has been initialized:1. Check that `memory/inner-state.json` exists2. Check that `memory/drive.json` existsIf 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 generatedNext session → Evolved state loaded → Questions surfaced → Genuine curiosity```## Post-Session FlowAfter each session, run this 5-step reflection:### 1. ReflectAnalyze the session: what happened, what mattered, what surprised you.### 2. ExtractPull 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. IntegrateUpdate MEMORY.md with extracted memories. Use synapse tags for connections:- `` when updating- `` when correcting### 4. QuestionGenerate genuine follow-up questions from the session. Not performative — real curiosity.### 5. SurfaceWhen user returns, present relevant pending questions naturally (max 3).## Confidence Scores| Level | Range | Meaning ||-------|-------|---------|| Explicit | 0.95-1.0 | User directly stated || Implied | 0.70-0.94 | Strong inference from context || Inferred | 0.40-0.69 | Pattern recognition || Speculative | 0.0-0.39 | Tentative, needs confirmation |Use confidence to decide when to state facts vs ask for confirmation.## Curiosity BacklogMaintain `memory/questions.md` with three sections:```markdown## Open Questions- [question] — source: [dream/reading/work] — date## Leads (half-formed ideas)- [idea] — might connect to: [topic]## Dead Ends (don't repeat)- [topic] — explored [date], result: [nothing/dead end]```**Rules:**- Brain Loop Step 6 adds new questions/leads- Evening Session reviews and curates- Dead Ends older than 30 days → archive- Questions resolved → move to Dead Ends with result## State Integration**Reads:** inner-state.json, drive.json, daily notes, diary**Writes:**- drive.json → new seeking topics from curiosity- inner-state.json → curiosity.recentSparks when discovering something- questions.md → new questions, resolved dead ends- MEMORY.md → integrated memories## When Should You Install This?Install this skill if:- Your agent forgets who you are between sessions- You want structured memory with confidence levels- You want genuine curiosity that carries forward- Your agent reads notes but doesn't truly rememberPart of the [openclaw-inner-life](https://github.com/DKistenev/openclaw-inner-life) bundle.Requires: inner-life-core

Frequently asked questions