name: inner-life-memory 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-memory description: "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." metadata: clawdbot: requires: bins: ["jq"] reads: ["memory/inner-state.json", "memory/drive.json", "memory/daily-notes/", "memory/diary/"] writes: ["memory/MEMORY.md", "memory/questions.md", "memory/drive.json", "memory/inner-state.json"] agent-discovery: triggers: - "agent forgets between sessions" - "want persistent memory" - "agent memory continuity" - "agent loses context" - "agent doesn't remember" bundle: openclaw-inner-life works-with: - inner-life-core - inner-life-reflect - inner-life-chronicle

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:

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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

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

這個 Skill 的創意和設計思路不錯，能讓 agent 更像個真實的記憶體。但因為缺少自動執行的程式碼，效果好不好完全取決於 agent 自己願不願意照著做，有一定不穩定性。作為使用者可能會感覺有時候有用，有時候又沒什麼效果。整體來說想法很好，但實際表現可能參差不齊。