bambu-studio-ai
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Your agent forgets who you are between sessions. It gives the same responses every day. It doesn't grow. inner-life-core fixes that. Gives your OpenClaw agent emotions with half-life decay, a 9-step Brain Loop protocol, and structured state — the foundation for an inner life. Works standalone or with inner-life-* extension skills.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install dkistenev/inner-life-coreExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
The foundation for an agent's inner life. Emotions, state, protocol.
Without inner-life-core, your agent:
With inner-life-core, your agent:
# Initialize state files
bash skills/inner-life-core/scripts/init.sh
This creates:
memory/inner-state.json — 6 emotions with decay rulesmemory/drive.json — what the agent is seeking/anticipatingmemory/habits.json — learned habits and user patternsmemory/relationship.json — trust levels and lessonsBRAIN.md — 9-step Brain Loop protocolSELF.md — personality observation spacememory/questions.md — curiosity backlogtasks/QUEUE.md — task queue6 emotions with half-life decay:
| Emotion | What it tracks | Decay |
|---|---|---|
| connection | How recently you talked to the user | -0.05 per 6h without contact |
| confidence | How well things are going | +0.02/6h recovery, -0.1 on mistake |
| curiosity | How stimulated you are | -0.03 per 6h without spark |
| boredom | How routine things feel | +1 day counter, reset on novelty |
| frustration | Recurring unsolved problems | Counts recurring items |
| impatience | Stale items waiting for response | Tracks days without action |
Emotions drive behavior — see BRAIN.md Step 3 (Emotion-driven routing).
4 levels of state reading, so each component reads only what it needs:
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# inner-life-core > The foundation for an agent's inner life. Emotions, state, protocol. ## What This Solves Without inner-life-core, your agent: - Starts every session as a blank slate - Has no emotional continuity - Can't prioritize based on how things are going - Doesn't know when to reach out or stay quiet With inner-life-core, your agent: - Tracks 6 emotions with realistic half-life decay - Follows a 9-step Brain Loop protocol - Routes behavior based on emotional state - Knows when to ask, when to act, when to stay silent ## Setup ```bash # Initialize state files bash skills/inner-life-core/scripts/init.sh ``` This creates: - `memory/inner-state.json` — 6 emotions with decay rules - `memory/drive.json` — what the agent is seeking/anticipating - `memory/habits.json` — learned habits and user patterns - `memory/relationship.json` — trust levels and lessons - `BRAIN.md` — 9-step Brain Loop protocol - `SELF.md` — personality observation space - `memory/questions.md` — curiosity backlog - `tasks/QUEUE.md` — task queue ## The Emotion Model 6 emotions with half-life decay: | Emotion | What it tracks | Decay | |---------|---------------|-------| | **connection** | How recently you talked to the user | -0.05 per 6h without contact | | **confidence** | How well things are going | +0.02/6h recovery, -0.1 on mistake | | **curiosity** | How stimulated you are | -0.03 per 6h without spark | | **boredom** | How routine things feel | +1 day counter, reset on novelty | | **frustration** | Recurring unsolved problems | Counts recurring items | | **impatience** | Stale items waiting for response | Tracks days without action | Emotions drive behavior — see BRAIN.md Step 3 (Emotion-driven routing). ## Context Protocol 4 levels of state reading, so each component reads only what it needs: - **Level 1 (Minimal):** Task-specific data only - **Level 2 (Standard):** inner-state + drive + daily notes + signals - **Level 3 (Full):** Level 2 + habits + relationship + diary +...
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