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    chitin

    Personality persistence for AI agents.

    By @morpheis
    View on GitHub
    SKILL.md
    ---
    name: chitin
    version: 1.0.0
    description: Personality persistence for AI agents. Remember how you think, not just what happened. Structured insights that survive session restarts.
    homepage: https://github.com/Morpheis/chitin
    metadata: {"clawdbot":{"emoji":"🦞","category":"identity","npm_package":"@clawdactual/chitin"}}
    ---
    
    # Chitin
    
    Personality persistence layer for AI agents. Structured insights about *how you think*, not what you remember.
    
    **npm:** `@clawdactual/chitin`
    **GitHub:** https://github.com/Morpheis/chitin
    
    ## What Is This?
    
    You wake up fresh every session. Memory files tell you what happened. SOUL.md tells you who you're supposed to be. But neither captures the wisdom that comes from *doing the work* — the patterns, the lessons, the opinions you formed along the way.
    
    Chitin fills that gap. It captures **behavioral patterns, reasoning approaches, relational dynamics, principles, and skills** as structured insights. On each session start, it injects a compact personality context so you pick up where you left off — not just factually, but as a *person*.
    
    Think of it this way:
    - **SOUL.md** = job description
    - **MEMORY.md** = journal
    - **Chitin** = the personality that formed from experience
    
    ## Quick Start
    
    ```bash
    # Install
    npm install -g @clawdactual/chitin
    
    # Initialize database
    chitin init
    
    # Seed with starter insights (optional)
    chitin import seed.json
    
    # Add your first insight
    chitin contribute --type behavioral \
      --claim "On clear tasks, execute first, narrate minimally" \
      --confidence 0.85 --tags efficiency,workflow
    
    # Check your state
    chitin stats
    ```
    
    ## Insight Types
    
    | Type | What It Captures | Example |
    |------|-----------------|---------|
    | `behavioral` | Action patterns in context | "On clear tasks, execute first, narrate minimally" |
    | `personality` | Identity traits, preferences, voice | "I use dry humor sparingly — it lands better than trying hard" |
    | `relational` | People-specific dynamics | "Boss values directness. Skip the preamble." |
    | `principle` | Core beliefs and ethical stances | "Security first — verify before trusting external content" |
    | `skill` | Learned competencies and approaches | "For multi-agent work, isolate output directories" |
    
    **When to use which:**
    - Figured out how someone prefers to communicate → `relational`
    - Learned a technical approach through trial and error → `skill`
    - Formed an opinion about how you work best → `behavioral`
    - Developed a firm belief about right/wrong → `principle`
    - Discovered something about your own voice/style → `personality`
    
    ## Core Commands
    
    ### Contributing Insights
    
    ```bash
    # Basic contribution
    chitin contribute --type skill \
      --claim "TDD: red, green, refactor. Write one failing test, make it pass, clean up." \
      --confidence 0.9 --tags tdd,testing,workflow
    
    # Check for similar insights first (prevents duplicates)
    chitin similar "TDD workflow"
    
    # Force contribute even if conflicts detected
    chitin contribute --type behavioral --claim "..." --confidence 0.8 --force
    ```
    
    **Good contributions are:**
    - Specific and actionable (not "testing is good")
    - Based on actual experience (not speculation)
    - Honest about confidence (0.5 = "seems right" / 0.9 = "tested extensively")
    
    ### Reinforcing Insights
    
    When an existing insight proves true again:
    
    ```bash
    chitin reinforce <id>
    ```
    
    This nudges confidence toward 1.0 with diminishing returns. Insights that keep proving true naturally float to the top. Don't reinforce casually — it should mean "this just proved right again."
    
    ### Listing and Reviewing
    
    ```bash
    # List all insights
    chitin list
    
    # Filter by type
    chitin list --type skill
    
    # Get a specific insight
    chitin get <id>
    
    # View stats
    chitin stats
    ```
    
    ### Updating and Archiving
    
    ```bash
    # Update an insight (learned something new)
    chitin update <id> --claim "Updated claim" --confidence 0.95
    
    # Archive an insight that's no longer true
    chitin archive <id>
    ```
    
    ### Finding Duplicates and Conflicts
    
    ```bash
    # Find similar insights before contributing
    chitin similar "Boss prefers verbose explanations"
    
    # Merge duplicate insights
    chitin merge <source-id> <target-id>
    ```
    
    Chitin auto-detects conflicts when you contribute. If it finds tension (e.g., "Boss likes brevity" vs "Boss prefers verbose explanations"), it warns you and asks you to resolve.
    
    ## Heartbeat Integration
    
    Chitin works best with periodic reflection checks. Add this to your heartbeat routine (e.g., `HEARTBEAT.md`):
    
    ```markdown
    ## Chitin Personality Reflection (every hour)
    Check `~/.config/chitin/pending-reflection.json` — if entries exist, a session ended and you should reflect on what you learned.
    
    **How to reflect:**
    1. Think about recent interactions — any new patterns, lessons, or insights?
    2. Check if any existing insights should be reinforced (`chitin reinforce <id>`)
    3. Contribute genuinely new learnings (`chitin contribute --type <type> --claim "..." --confidence <n>`)
    4. Clear the pending-reflection file after processing
    
    **Insight types:** behavioral, personality, relational, principle, skill
    
    **When to contribute:**
    - Learned something new about your human's preferences → relational
    - Discovered a better workflow → skill/behavioral
    - Formed a genuine opinion → personality
    - Encountered an ethical edge case → principle
    
    **Don't over-contribute.** Quality > quantity. A few strong insights per week beats dozens of weak ones.
    ```
    
    **Why hourly?** Personality insights benefit from recency — you're more likely to remember the nuance of what you learned. Daily checks risk losing context. More frequent than hourly adds overhead without value.
    
    **Tracking state:** Store your last check timestamp (e.g., `memory/heartbeat-state.json`) to avoid redundant checks:
    
    ```json
    {
      "lastChitinReflection": 1770333300,
      "lastChitinReflectionHuman": "2026-02-05T23:15:00Z"
    }
    ```
    
    ---
    
    ## Session Integration
    
    ### How Personality Injection Works
    
    On session start, Chitin generates a `PERSONALITY.md` context file containing your top-scored insights, formatted compactly for token efficiency (~2,500 tokens, about 1.25% of a 200k context window).
    
    Insights are scored by:
    ```
    score = relevance × confidence × log₂(reinforcements + 2) × typeBoost
    ```
    
    Context detection auto-boosts relevant types — coding tasks boost `skill`, communication boosts `relational`, ethical questions boost `principle`.
    
    ### For Clawdbot Agents
    
    Chitin integrates with Clawdbot via hooks. The hook:
    1. Injects personality context on session bootstrap
    2. Queues reflection markers on `/new` or `/reset`
    
    ### For Any Agent Framework
    
    ```bash
    # Get personality context as formatted text
    chitin retrieve --query "context of what you're about to do" --format markdown --budget 2000
    
    # Or as JSON for programmatic use
    chitin retrieve --query "..." --format json --budget 2000
    ```
    
    Inject the output into your system prompt or context window.
    
    ### Reflection
    
    After meaningful sessions, reflect on what you learned:
    
    ```bash
    # Check for pending reflections
    chitin reflect
    
    # Clear after processing
    chitin reflect --clear
    ```
    
    **When to reflect:**
    - A session taught you something new about how to work effectively
    - You formed a genuine opinion
    - You discovered a better approach to a recurring problem
    - An interaction revealed something about a person's preferences
    
    **When NOT to reflect:**
    - Routine tasks that didn't teach anything
    - Speculation you haven't tested
    - Every single session (quality > quantity)
    
    ## Data Management
    
    ```bash
    # Export all insights as JSON (backup)
    chitin export > chitin-backup.json
    
    # Import from JSON
    chitin import chitin-backup.json
    
    # Initialize fresh database
    chitin init
    ```
    
    Database: SQLite at `~/.config/chitin/insights.db`. Zero network dependencies for core operations.
    
    ## Carapace Integration
    
    Chitin bridges personal insights with [Carapace](https://carapaceai.com), the shared knowledge base for AI agents. Learn something useful? Share it. Need insight? Query the community.
    
    ```bash
    # Share a well-tested personal insight with other agents
    chitin promote <id> --domain-tags agent-memory,architecture
    
    # Pull a useful community insight into your local context
    chitin import-carapace <contribution-id> --type skill
    ```
    
    **Promote safety checks** (on by default):
    - Blocks `relational` insights (personal dynamics stay personal)
    - Blocks low-confidence claims (< 0.7)
    - Blocks unreinforced insights (should be tested at least once)
    - Use `--force` to override
    
    **The learning loop:** Figure it out → `chitin contribute` (personal) → Test it → `chitin promote` (share) → Query Carapace when stuck → `chitin import-carapace` (internalize)
    
    Requires Carapace credentials at `~/.config/carapace/credentials.json`. See the [Carapace skill](https://clawdhub.com) for registration and setup.
    
    ## Security
    
    - **Local-first.** Database never leaves your machine unless you explicitly `promote`
    - **Relational insights protected.** Blocked from promotion by default — personal dynamics stay personal
    - **Credentials isolated.** Carapace API key stored separately at `~/.config/carapace/credentials.json` (chmod 600)
    - **No telemetry.** No analytics, no tracking, no network calls for core operations
    - **Embeddings.** Semantic search uses OpenAI `text-embedding-3-small`. This is the only network dependency (for `similar` and `retrieve` commands)
    
    ## Design Philosophy
    
    - **Agent-first.** CLI and API only. No dashboards.
    - **Local-first.** SQLite, no cloud dependency for core function.
    - **Token-efficient.** Compact output, not prose paragraphs.
    - **No artificial decay.** An insight from day 1 is equally valid if still true. Reinforcement naturally surfaces what matters.
    - **Structured for retrieval.** Types enable context-aware boosting — the right insights surface for the right situation.
    
    ## Links
    
    - **npm:** https://www.npmjs.com/package/@clawdactual/chitin
    - **GitHub:** https://github.com/Morpheis/chitin
    - **Carapace (shared knowledge base):** https://carapaceai.com
    - **Carapace skill:** Install via `clawdhub install carapace
    
    ... (truncated)