Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Inner Life Memory
Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active develo...
skill openclawclawhub Free
Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active develo...
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Install for OpenClaw
Known item issue.
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Quick setup
- Open the source page and confirm the package flow manually.
- Review SKILL.md if you can obtain the files.
- Treat this source as manual setup until the download is verified.
Package facts
- Download mode
- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Open the source listing and confirm there is a real package or setup artifact available.
- Review SKILL.md before asking your agent to continue.
- Treat this source as manual setup until the upstream download flow is fixed.
Install with your agent
Agent handoff
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
- Open the source page via Open source listing.
- If you can obtain the package, extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the source page and extracted files.
New install
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
Upgrade existing
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.4
Provenance
- Publisher
- DKistenev
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 β Notes logged β Next session reads notes β Performs familiarity With inner-life-memory: Session ends β Reflection runs β Memories integrated β Questions generated Next session β Evolved state loaded β Questions surfaced β 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: TypeDescriptionPersistencefactDeclarative knowledgeUntil contradictedpreferenceLikes, dislikes, stylesUntil updatedrelationshipConnection dynamicsLong-termprincipleLearned guidelinesStablecommitmentPromises, obligationsUntil fulfilledmomentSignificant episodesPermanentskillLearned capabilitiesCumulativequestionThings to exploreUntil 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 β real curiosity.
5. Surface
When user returns, present relevant pending questions naturally (max 3).
Confidence Scores
LevelRangeMeaningExplicit0.95-1.0User directly statedImplied0.70-0.94Strong inference from contextInferred0.40-0.69Pattern recognitionSpeculative0.0-0.39Tentative, 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] β source: [dream/reading/work] β date
- ## Leads (half-formed ideas)
- [idea] β might connect to: [topic]
- ## Dead Ends (don't repeat)
- [topic] β 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 β archive
- Questions resolved β move to Dead Ends with result
State Integration
Reads: inner-state.json, drive.json, daily notes, diary Writes: drive.json β new seeking topics from curiosity inner-state.json β curiosity.recentSparks when discovering something questions.md β new questions, resolved dead ends MEMORY.md β 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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md