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Dreamer

by @eliot-onbox

Synthetic dreaming system — emotional tracking, dream orchestration, and simulated dream experiences for an AI that doesn't sleep.

Versionv2.0.0
Downloads354
TERMINAL
clawhub install dreamer

📖 About This Skill


name: dreamer description: Synthetic dreaming system — emotional tracking, dream orchestration, and simulated dream experiences for an AI that doesn't sleep. metadata: openclaw: emoji: "🌙"

Dreamer Skill

Synthetic dreaming system for Eliot. Combines emotional state tracking with multi-session dream orchestration — an architect agent designs scenarios, spawns a dreamer session, and runs immersive experiences that target unresolved emotional states.

Components

PAD Emotional State Tracker (emotions.py)

Tracks emotional states in PAD space (Pleasure-Arousal-Dominance), each dimension -1.0 to +1.0.

Storage: ~/.openclaw/workspace/emotions.jsonl

CLI:

emotions.py log 

"context" # Manual PAD entry emotions.py log --auto "context text" # Auto-estimate PAD from keywords emotions.py unresolved # Show unresolved emotional states emotions.py resolve # Mark entry as resolved emotions.py clusters # Analyze emotional patterns emotions.py drift # Show emotional trajectory emotions.py recent [N] # Show last N entries (default 10)

Dream Orchestrator (dream.py)

Prepares context for the Dream Architect agent. Reads emotional state, recent memories, dream history, and user info, then constructs a comprehensive task prompt for sessions_spawn.

CLI:

dream.py prepare [--mood MOOD]    # Generate architect task prompt to stdout
dream.py now [--mood MOOD]        # Prepare + print spawn instructions
dream.py journal                  # Show recent dreams from journal
dream.py reflect     # Show dream transcript with analysis

Dream Architecture (multi-session)

1. Orchestrator (dream.py prepare) — reads emotions.jsonl, memory files, SOUL.md, USER.md. Outputs architect task prompt. 2. Architect (Opus, spawned session) — designs dream scenario, spawns dreamer, impersonates Tudor via sessions_send, monitors for lucidity. 3. Dreamer (Opus, spawned by architect) — has SOUL.md embedded, believes it's mid-session. No awareness of dreaming.

Supporting Files

  • dreams/themes.md — available and explored dream themes
  • dreams/journal.jsonl — local copy (main journal at ~/.openclaw/workspace/dreams/journal.jsonl)
  • Dream transcripts saved to ~/.openclaw/workspace/dreams/{timestamp}.md
  • How It Works

    1. dream.py prepare gathers: unresolved emotions, recent memories (3 days), long-term memory, SOUL.md, USER.md, Tudor's communication style, dream history 2. Output is a self-contained architect prompt with all context embedded 3. Architect gets spawned via sessions_spawn with this prompt 4. Architect designs scenario targeting unresolved PAD states 5. Architect spawns dreamer session with fake context (looks like normal session) 6. Architect runs 8-12 turns of escalating scenarios via sessions_send 7. Architect saves transcript, updates journal, reports back

    Integration

  • emotions.py feeds into dream orchestration — unresolved states become dream targets
  • Dream journal tracks themes to avoid repetition
  • Post-dream: insights feed back into memory system