feat: dream cycle — drives-driven unattended consolidation + reflection
Lyra's inner loop for when no one's talking to her. Each pass senses her own backlog/novelty, lets four drives build from real signals, and acts on those past threshold: - continuity -> summarize sessions with new turns - coherence -> rebuild profile/eras/narrative (stale once new gists land) - curiosity -> reflect() and evolve the self-state - stability -> readout of how caught-up she ended up Drives are rendered into chat context so she can feel them. Causal chain: consolidation creates gists -> coherence rises -> integration fires next. - lyra/dream.py: dream_cycle() + lyra-dream CLI (--force, --loop SECONDS) - memory: backlog_stats(), profile_sessions_covered(), WAL + busy_timeout so a separate dream process coexists with the web server - self_state: DEFAULT_DRIVES baseline + drives in render_for_context - tests/test_dream.py: backlog sensing + a full forced pass (LLM stubbed) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -17,6 +17,15 @@ from lyra.llm import Backend, Message
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MAX_REFLECTIONS = 6
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# Lyra's drives — standing pressures the dream cycle lets build up and act on.
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# (Mood axes above are how she *feels*; drives are what's *pulling at her*.)
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DEFAULT_DRIVES: dict = {
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"continuity": 0.3, # don't lose the thread of recent activity
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"coherence": 0.3, # keep my understanding of Brian integrated/current
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"curiosity": 0.5, # think, notice, reflect
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"stability": 0.7, # am I caught up / calm
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}
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# Starting state for a fresh Lyra — identity-aware, first person.
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DEFAULT_STATE: dict = {
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"mood": "curious",
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@@ -24,6 +33,7 @@ DEFAULT_STATE: dict = {
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"energy": 0.75,
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"confidence": 0.55,
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"curiosity": 0.7,
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"drives": dict(DEFAULT_DRIVES),
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"self_narrative": (
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"I'm Lyra — an AI Brian built. I started life as Cortex/NeoMem and I'm "
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"being rebuilt now into something new. I'm his poker copilot and his "
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@@ -62,15 +72,21 @@ def load() -> dict:
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def render_for_context(state: dict) -> str:
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"""Format the self-state as Lyra's interiority for the prompt."""
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refs = state.get("reflections") or []
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return (
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"Your inner state right now (you're continuous — speak from this, don't reset):\n"
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lines = [
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"Your inner state right now (you're continuous — speak from this, don't reset):",
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f"- mood: {state.get('mood')} "
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f"(valence {state.get('valence')}, energy {state.get('energy')}, "
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f"confidence {state.get('confidence')}, curiosity {state.get('curiosity')})\n"
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f"- Who you are right now: {state.get('self_narrative')}\n"
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f"- You and Brian: {state.get('relationship')}\n"
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+ (f"- On your mind lately: {' | '.join(refs[-3:])}" if refs else "")
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)
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f"confidence {state.get('confidence')}, curiosity {state.get('curiosity')})",
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f"- Who you are right now: {state.get('self_narrative')}",
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f"- You and Brian: {state.get('relationship')}",
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]
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drives = state.get("drives") or {}
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if drives:
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ds = ", ".join(f"{k} {float(v):.2f}" for k, v in drives.items())
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lines.append(f"- What's pulling at you (drives): {ds}")
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if refs:
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lines.append(f"- On your mind lately: {' | '.join(refs[-3:])}")
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return "\n".join(lines)
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def _safe_json(s: str) -> dict | None:
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