bambu-studio-ai
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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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install dkistenev/inner-life-memoryInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Transform passive logging into active development.
Requires: inner-life-core
Before using this skill, verify that inner-life-core has been initialized:
memory/inner-state.json existsmemory/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.
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
After each session, run this 5-step reflection:
Analyze the session: what happened, what mattered, what surprised you.
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 |
Update MEMORY.md with extracted memories. Use synapse tags for connections:
<!-- updates: previous fact --> when updating<!-- contradicts: old belief --> when correctingGenerate genuine follow-up questions from the session. Not performative — real curiosity.
When user returns, present relevant pending questions naturally (max 3).
| Level | Range | Mea...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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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