Merge branch 'main' into claude/issue-1126

Merge PR #1156: [Mnemosyne] Consolidated Spatial Memory Schema — spatial regions + demo memories

app.js

@@ -3,6 +3,7 @@ import { EffectComposer } from 'three/addons/postprocessing/EffectComposer.js';
 import { RenderPass } from 'three/addons/postprocessing/RenderPass.js';
 import { UnrealBloomPass } from 'three/addons/postprocessing/UnrealBloomPass.js';
 import { SMAAPass } from 'three/addons/postprocessing/SMAAPass.js';
+import { SpatialMemory } from './nexus/components/spatial-memory.js';
 
 // ═══════════════════════════════════════════
 // NEXUS v1.1 — Portal System Update
@@ -703,6 +704,7 @@ async function init() {
   createSessionPowerMeter();
   createWorkshopTerminal();
   createAshStorm();
+  SpatialMemory.init(scene);
   updateLoad(90);
 
   loadSession();
@@ -2575,6 +2577,7 @@ function gameLoop() {
 
   // Project Mnemosyne - Memory Orb Animation
   if (typeof animateMemoryOrbs === 'function') {
+    SpatialMemory.update(delta);
     animateMemoryOrbs(delta);
   }
 
@@ -3093,6 +3096,17 @@ function spawnRetrievalOrbs(results, center) {
 init().then(() => {
   createAshStorm();
   createPortalTunnel();
+
+  // Project Mnemosyne — seed demo spatial memories
+  const demoMemories = [
+    { id: 'mem_nexus_birth', content: 'The Nexus came online — first render of the 3D world', category: 'knowledge', strength: 0.95, connections: ['mem_mnemosyne_start'] },
+    { id: 'mem_first_portal', content: 'First portal deployed — connection to external service', category: 'engineering', strength: 0.85, connections: ['mem_nexus_birth'] },
+    { id: 'mem_hermes_chat', content: 'First conversation through the Hermes gateway', category: 'social', strength: 0.7, connections: [] },
+    { id: 'mem_mnemosyne_start', content: 'Project Mnemosyne began — the living archive awakens', category: 'projects', strength: 0.9, connections: ['mem_nexus_birth', 'mem_spatial_schema'] },
+    { id: 'mem_spatial_schema', content: 'Spatial Memory Schema defined — memories gain permanent homes', category: 'engineering', strength: 0.8, connections: ['mem_mnemosyne_start'] },
+  ];
+  demoMemories.forEach(m => SpatialMemory.placeMemory(m));
+
   fetchGiteaData();
   setInterval(fetchGiteaData, 30000);
   runWeeklyAudit();

bin/deepdive_tts.py

@@ -152,17 +152,55 @@ class OpenAITTSAdapter:
         return mp3_path
 
 
+class EdgeTTSAdapter:
+    """Zero-cost TTS using Microsoft Edge neural voices (no API key required).
+
+    Requires: pip install edge-tts>=6.1.9
+    Voices: https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support
+    """
+
+    DEFAULT_VOICE = "en-US-GuyNeural"
+
+    def __init__(self, config: TTSConfig):
+        self.config = config
+        self.voice = config.voice_id or self.DEFAULT_VOICE
+
+    def synthesize(self, text: str, output_path: Path) -> Path:
+        try:
+            import edge_tts
+        except ImportError:
+            raise RuntimeError("edge-tts not installed. Run: pip install edge-tts")
+
+        import asyncio
+
+        mp3_path = output_path.with_suffix(".mp3")
+
+        async def _run():
+            communicate = edge_tts.Communicate(text, self.voice)
+            await communicate.save(str(mp3_path))
+
+        asyncio.run(_run())
+        return mp3_path
+
+
 ADAPTERS = {
     "piper": PiperAdapter,
     "elevenlabs": ElevenLabsAdapter,
     "openai": OpenAITTSAdapter,
+    "edge-tts": EdgeTTSAdapter,
 }
 
 
 def get_provider_config() -> TTSConfig:
     """Load TTS configuration from environment."""
     provider = os.environ.get("DEEPDIVE_TTS_PROVIDER", "openai")
-    voice = os.environ.get("DEEPDIVE_TTS_VOICE", "alloy" if provider == "openai" else "matthew")
+    if provider == "openai":
+        default_voice = "alloy"
+    elif provider == "edge-tts":
+        default_voice = EdgeTTSAdapter.DEFAULT_VOICE
+    else:
+        default_voice = "matthew"
+    voice = os.environ.get("DEEPDIVE_TTS_VOICE", default_voice)
     
     return TTSConfig(
         provider=provider,

bin/night_watch.py

@@ -32,12 +32,14 @@ import importlib.util
 import json
 import logging
 import os
+import re
 import shutil
 import subprocess
 import sys
 import time
 from datetime import datetime, timezone
 from pathlib import Path
+from typing import Optional
 
 logging.basicConfig(
     level=logging.INFO,
@@ -212,6 +214,46 @@ def generate_report(date_str: str, checker_mod) -> str:
     return "\n".join(lines)
 
 
+# ── Voice memo ────────────────────────────────────────────────────────
+
+def _generate_voice_memo(report_text: str, date_str: str) -> Optional[str]:
+    """Generate an MP3 voice memo of the night watch report.
+
+    Returns the output path on success, or None if generation fails.
+    """
+    try:
+        import edge_tts
+    except ImportError:
+        logger.warning("edge-tts not installed; skipping voice memo. Run: pip install edge-tts")
+        return None
+
+    import asyncio
+
+    # Strip markdown formatting for cleaner speech
+    clean = report_text
+    clean = re.sub(r"#+\s*", "", clean)       # headings
+    clean = re.sub(r"\|", " ", clean)          # table pipes
+    clean = re.sub(r"\*+", "", clean)          # bold/italic markers
+    clean = re.sub(r"-{3,}", "", clean)        # horizontal rules
+    clean = re.sub(r"\s{2,}", " ", clean)      # collapse extra whitespace
+
+    output_dir = Path("/tmp/bezalel")
+    output_dir.mkdir(parents=True, exist_ok=True)
+    mp3_path = output_dir / f"night-watch-{date_str}.mp3"
+
+    try:
+        async def _run():
+            communicate = edge_tts.Communicate(clean.strip(), "en-US-GuyNeural")
+            await communicate.save(str(mp3_path))
+
+        asyncio.run(_run())
+        logger.info("Voice memo written to %s", mp3_path)
+        return str(mp3_path)
+    except Exception as exc:
+        logger.warning("Voice memo generation failed: %s", exc)
+        return None
+
+
 # ── Entry point ───────────────────────────────────────────────────────
 
 def main() -> None:
@@ -226,6 +268,10 @@ def main() -> None:
         "--dry-run", action="store_true",
         help="Print report to stdout instead of writing to disk",
     )
+    parser.add_argument(
+        "--voice-memo", action="store_true",
+        help="Generate an MP3 voice memo of the report using edge-tts (saved to /tmp/bezalel/)",
+    )
     args = parser.parse_args()
 
     date_str = args.date or datetime.now(timezone.utc).strftime("%Y-%m-%d")
@@ -242,6 +288,14 @@ def main() -> None:
     report_path.write_text(report_text)
     logger.info("Night Watch report written to %s", report_path)
 
+    if args.voice_memo:
+        try:
+            memo_path = _generate_voice_memo(report_text, date_str)
+            if memo_path:
+                logger.info("Voice memo: %s", memo_path)
+        except Exception as exc:
+            logger.warning("Voice memo failed (non-fatal): %s", exc)
+
 
 if __name__ == "__main__":
     main()

docs/voice-output.md

@@ -0,0 +1,135 @@
+# Voice Output System
+
+## Overview
+
+The Nexus voice output system converts text reports and briefings into spoken audio.
+It supports multiple TTS providers with automatic fallback so that audio generation
+degrades gracefully when a provider is unavailable.
+
+Primary use cases:
+- **Deep Dive** daily briefings (`bin/deepdive_tts.py`)
+- **Night Watch** nightly reports (`bin/night_watch.py --voice-memo`)
+
+---
+
+## Available Providers
+
+### edge-tts (recommended default)
+
+- **Cost:** Zero — no API key, no account required
+- **Package:** `pip install edge-tts>=6.1.9`
+- **Default voice:** `en-US-GuyNeural`
+- **Output format:** MP3
+- **How it works:** Streams audio from Microsoft Edge's neural TTS service over HTTPS.
+  No local model download required.
+- **Available locales:** 100+ languages and locales. Full list:
+  https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support
+
+Notable English voices:
+| Voice ID | Style |
+|---|---|
+| `en-US-GuyNeural` | Neutral male (default) |
+| `en-US-JennyNeural` | Warm female |
+| `en-US-AriaNeural` | Expressive female |
+| `en-GB-RyanNeural` | British male |
+
+### piper
+
+- **Cost:** Free, fully offline
+- **Package:** `pip install piper-tts` + model download (~65 MB)
+- **Model location:** `~/.local/share/piper/en_US-lessac-medium.onnx`
+- **Output format:** WAV → MP3 (requires `lame`)
+- **Sovereignty:** Fully local; no network calls after model download
+
+### elevenlabs
+
+- **Cost:** Usage-based (paid)
+- **Requirement:** `ELEVENLABS_API_KEY` environment variable
+- **Output format:** MP3
+- **Quality:** Highest quality of the three providers
+
+### openai
+
+- **Cost:** Usage-based (paid)
+- **Requirement:** `OPENAI_API_KEY` environment variable
+- **Output format:** MP3
+- **Default voice:** `alloy`
+
+---
+
+## Usage: deepdive_tts.py
+
+```bash
+# Use edge-tts (zero cost)
+DEEPDIVE_TTS_PROVIDER=edge-tts python bin/deepdive_tts.py --text "Good morning."
+
+# Specify a different Edge voice
+python bin/deepdive_tts.py --provider edge-tts --voice en-US-JennyNeural --text "Hello world."
+
+# Read from a file
+python bin/deepdive_tts.py --provider edge-tts --input-file /tmp/briefing.txt --output /tmp/briefing
+
+# Use OpenAI
+OPENAI_API_KEY=sk-... python bin/deepdive_tts.py --provider openai --voice nova --text "Hello."
+
+# Use ElevenLabs
+ELEVENLABS_API_KEY=... python bin/deepdive_tts.py --provider elevenlabs --voice rachel --text "Hello."
+
+# Use local Piper (offline)
+python bin/deepdive_tts.py --provider piper --text "Hello."
+```
+
+Provider and voice can also be set via environment variables:
+
+```bash
+export DEEPDIVE_TTS_PROVIDER=edge-tts
+export DEEPDIVE_TTS_VOICE=en-GB-RyanNeural
+python bin/deepdive_tts.py --text "Good evening."
+```
+
+---
+
+## Usage: Night Watch --voice-memo
+
+The `--voice-memo` flag causes Night Watch to generate an MP3 audio summary of the
+nightly report immediately after writing the markdown file.
+
+```bash
+python bin/night_watch.py --voice-memo
+```
+
+Output location: `/tmp/bezalel/night-watch-<YYYY-MM-DD>.mp3`
+
+The voice memo:
+- Strips markdown formatting (`#`, `|`, `*`, `---`) for cleaner speech
+- Uses `edge-tts` with the `en-US-GuyNeural` voice
+- Is non-fatal: if TTS fails, the markdown report is still written normally
+
+Example crontab with voice memo:
+
+```cron
+0 3 * * * cd /path/to/the-nexus && python bin/night_watch.py --voice-memo \
+    >> /var/log/bezalel/night-watch.log 2>&1
+```
+
+---
+
+## Fallback Chain
+
+`HybridTTS` (used by `tts_engine.py`) attempts providers in this order:
+
+1. **edge-tts** — zero cost, no API key
+2. **piper** — offline local model (if model file present)
+3. **elevenlabs** — cloud fallback (if `ELEVENLABS_API_KEY` set)
+
+If `prefer_cloud=True` is passed, the order becomes: elevenlabs → piper.
+
+---
+
+## Phase 3 TODO
+
+Evaluate **fish-speech** and **F5-TTS** as fully offline, sovereign alternatives
+with higher voice quality than Piper. These models run locally with no network
+dependency whatsoever, providing complete independence from Microsoft's Edge service.
+
+Tracking: to be filed as a follow-up to issue #830.

intelligence/deepdive/tts_engine.py

@@ -157,14 +157,45 @@ class ElevenLabsTTS:
         return output_path
 
 
+class EdgeTTS:
+    """Zero-cost TTS using Microsoft Edge neural voices (no API key required).
+
+    Requires: pip install edge-tts>=6.1.9
+    """
+
+    DEFAULT_VOICE = "en-US-GuyNeural"
+
+    def __init__(self, voice: str = None):
+        self.voice = voice or self.DEFAULT_VOICE
+
+    def synthesize(self, text: str, output_path: str) -> str:
+        """Convert text to MP3 via Edge TTS."""
+        try:
+            import edge_tts
+        except ImportError:
+            raise RuntimeError("edge-tts not installed. Run: pip install edge-tts")
+
+        import asyncio
+        from pathlib import Path
+
+        mp3_path = str(Path(output_path).with_suffix(".mp3"))
+
+        async def _run():
+            communicate = edge_tts.Communicate(text, self.voice)
+            await communicate.save(mp3_path)
+
+        asyncio.run(_run())
+        return mp3_path
+
+
 class HybridTTS:
     """TTS with sovereign primary, cloud fallback."""
-    
+
     def __init__(self, prefer_cloud: bool = False):
         self.primary = None
         self.fallback = None
         self.prefer_cloud = prefer_cloud
-        
+
         # Try preferred engine
         if prefer_cloud:
             self._init_elevenlabs()
@@ -172,21 +203,29 @@ class HybridTTS:
                 self._init_piper()
         else:
             self._init_piper()
+            if not self.primary:
+                self._init_edge_tts()
             if not self.primary:
                 self._init_elevenlabs()
-    
+
     def _init_piper(self):
         try:
             self.primary = PiperTTS()
         except Exception as e:
             print(f"Piper init failed: {e}")
-    
+
+    def _init_edge_tts(self):
+        try:
+            self.primary = EdgeTTS()
+        except Exception as e:
+            print(f"EdgeTTS init failed: {e}")
+
     def _init_elevenlabs(self):
         try:
             self.primary = ElevenLabsTTS()
         except Exception as e:
             print(f"ElevenLabs init failed: {e}")
-    
+
     def synthesize(self, text: str, output_path: str) -> str:
         """Synthesize with fallback."""
         if self.primary:
@@ -194,7 +233,7 @@ class HybridTTS:
                 return self.primary.synthesize(text, output_path)
             except Exception as e:
                 print(f"Primary failed: {e}")
-        
+
         raise RuntimeError("No TTS engine available")
 
 

nexus/components/spatial-memory.js

@@ -0,0 +1,376 @@
+// ═══════════════════════════════════════════
+//  PROJECT MNEMOSYNE — SPATIAL MEMORY SCHEMA
+// ═══════════════════════════════════════════
+//
+// Maps memories to persistent locations in the 3D Nexus world.
+// Each region corresponds to a semantic category. Memories placed
+// in a region stay there across sessions, forming a navigable
+// holographic archive.
+//
+// World layout (hex cylinder, radius 25):
+//   North (z-)  → Documents & Knowledge
+//   South (z+)  → Projects & Tasks
+//   East  (x+)  → Code & Engineering
+//   West  (x-)  → Conversations & Social
+//   Center      → Active Working Memory
+//   Below (y-)  → Archive (cold storage)
+//
+// Usage from app.js:
+//   SpatialMemory.init(scene);
+//   SpatialMemory.placeMemory({ id, content, category, ... });
+//   SpatialMemory.importIndex(savedIndex);
+//   SpatialMemory.update(delta);
+// ═══════════════════════════════════════════
+
+const SpatialMemory = (() => {
+
+  // ─── REGION DEFINITIONS ───────────────────────────────
+  const REGIONS = {
+    engineering: {
+      label: 'Code & Engineering',
+      center: [15, 0, 0],
+      radius: 10,
+      color: 0x4af0c0,
+      glyph: '\u2699',
+      description: 'Source code, debugging sessions, architecture decisions'
+    },
+    social: {
+      label: 'Conversations & Social',
+      center: [-15, 0, 0],
+      radius: 10,
+      color: 0x7b5cff,
+      glyph: '\uD83D\uDCAC',
+      description: 'Chats, discussions, human interactions'
+    },
+    knowledge: {
+      label: 'Documents & Knowledge',
+      center: [0, 0, -15],
+      radius: 10,
+      color: 0xffd700,
+      glyph: '\uD83D\uDCD6',
+      description: 'Papers, docs, research, learned concepts'
+    },
+    projects: {
+      label: 'Projects & Tasks',
+      center: [0, 0, 15],
+      radius: 10,
+      color: 0xff4466,
+      glyph: '\uD83C\uDFAF',
+      description: 'Active tasks, issues, milestones, goals'
+    },
+    working: {
+      label: 'Active Working Memory',
+      center: [0, 0, 0],
+      radius: 5,
+      color: 0x00ff88,
+      glyph: '\uD83D\uDCA1',
+      description: 'Current focus — transient, high-priority memories'
+    },
+    archive: {
+      label: 'Archive',
+      center: [0, -3, 0],
+      radius: 20,
+      color: 0x334455,
+      glyph: '\uD83D\uDDC4',
+      description: 'Cold storage — rarely accessed, aged-out memories'
+    }
+  };
+
+  // ─── STATE ────────────────────────────────────────────
+  let _scene = null;
+  let _regionMarkers = {};
+  let _memoryObjects = {};
+  let _connectionLines = [];
+  let _initialized = false;
+
+  // ─── CRYSTAL GEOMETRY (persistent memories) ───────────
+  function createCrystalGeometry(size) {
+    return new THREE.OctahedronGeometry(size, 0);
+  }
+
+  // ─── REGION MARKER ───────────────────────────────────
+  function createRegionMarker(regionKey, region) {
+    const cx = region.center[0];
+    const cy = region.center[1] + 0.06;
+    const cz = region.center[2];
+
+    const ringGeo = new THREE.RingGeometry(region.radius - 0.5, region.radius, 6);
+    const ringMat = new THREE.MeshBasicMaterial({
+      color: region.color,
+      transparent: true,
+      opacity: 0.15,
+      side: THREE.DoubleSide
+    });
+    const ring = new THREE.Mesh(ringGeo, ringMat);
+    ring.rotation.x = -Math.PI / 2;
+    ring.position.set(cx, cy, cz);
+    ring.userData = { type: 'region_marker', region: regionKey };
+
+    const discGeo = new THREE.CircleGeometry(region.radius - 0.5, 6);
+    const discMat = new THREE.MeshBasicMaterial({
+      color: region.color,
+      transparent: true,
+      opacity: 0.03,
+      side: THREE.DoubleSide
+    });
+    const disc = new THREE.Mesh(discGeo, discMat);
+    disc.rotation.x = -Math.PI / 2;
+    disc.position.set(cx, cy - 0.01, cz);
+
+    _scene.add(ring);
+    _scene.add(disc);
+
+    // Floating label
+    const canvas = document.createElement('canvas');
+    canvas.width = 256;
+    canvas.height = 64;
+    const ctx = canvas.getContext('2d');
+    ctx.font = '24px monospace';
+    ctx.fillStyle = '#' + region.color.toString(16).padStart(6, '0');
+    ctx.textAlign = 'center';
+    ctx.fillText(region.glyph + ' ' + region.label, 128, 40);
+
+    const texture = new THREE.CanvasTexture(canvas);
+    const spriteMat = new THREE.SpriteMaterial({ map: texture, transparent: true, opacity: 0.6 });
+    const sprite = new THREE.Sprite(spriteMat);
+    sprite.position.set(cx, 3, cz);
+    sprite.scale.set(4, 1, 1);
+    _scene.add(sprite);
+
+    return { ring, disc, sprite };
+  }
+
+  // ─── PLACE A MEMORY ──────────────────────────────────
+  function placeMemory(mem) {
+    if (!_scene) return null;
+
+    const region = REGIONS[mem.category] || REGIONS.working;
+    const pos = mem.position || _assignPosition(mem.category, mem.id);
+    const strength = Math.max(0.05, Math.min(1, mem.strength != null ? mem.strength : 0.7));
+    const size = 0.2 + strength * 0.3;
+
+    const geo = createCrystalGeometry(size);
+    const mat = new THREE.MeshStandardMaterial({
+      color: region.color,
+      emissive: region.color,
+      emissiveIntensity: 1.5 * strength,
+      metalness: 0.6,
+      roughness: 0.15,
+      transparent: true,
+      opacity: 0.5 + strength * 0.4
+    });
+
+    const crystal = new THREE.Mesh(geo, mat);
+    crystal.position.set(pos[0], pos[1] + 1.5, pos[2]);
+    crystal.castShadow = true;
+
+    crystal.userData = {
+      type: 'spatial_memory',
+      memId: mem.id,
+      region: mem.category,
+      pulse: Math.random() * Math.PI * 2,
+      strength: strength,
+      createdAt: mem.timestamp || new Date().toISOString()
+    };
+
+    const light = new THREE.PointLight(region.color, 0.8 * strength, 5);
+    crystal.add(light);
+
+    _scene.add(crystal);
+    _memoryObjects[mem.id] = { mesh: crystal, data: mem, region: mem.category };
+
+    if (mem.connections && mem.connections.length > 0) {
+      _drawConnections(mem.id, mem.connections);
+    }
+
+    console.info('[Mnemosyne] Spatial memory placed:', mem.id, 'in', region.label);
+    return crystal;
+  }
+
+  // ─── DETERMINISTIC POSITION ──────────────────────────
+  function _assignPosition(category, memId) {
+    const region = REGIONS[category] || REGIONS.working;
+    const cx = region.center[0];
+    const cy = region.center[1];
+    const cz = region.center[2];
+    const r = region.radius * 0.7;
+
+    let hash = 0;
+    for (let i = 0; i < memId.length; i++) {
+      hash = ((hash << 5) - hash) + memId.charCodeAt(i);
+      hash |= 0;
+    }
+
+    const angle = (Math.abs(hash % 360) / 360) * Math.PI * 2;
+    const dist = (Math.abs((hash >> 8) % 100) / 100) * r;
+    const height = (Math.abs((hash >> 16) % 100) / 100) * 3;
+
+    return [cx + Math.cos(angle) * dist, cy + height, cz + Math.sin(angle) * dist];
+  }
+
+  // ─── CONNECTIONS ─────────────────────────────────────
+  function _drawConnections(memId, connections) {
+    const src = _memoryObjects[memId];
+    if (!src) return;
+
+    connections.forEach(targetId => {
+      const tgt = _memoryObjects[targetId];
+      if (!tgt) return;
+
+      const points = [src.mesh.position.clone(), tgt.mesh.position.clone()];
+      const geo = new THREE.BufferGeometry().setFromPoints(points);
+      const mat = new THREE.LineBasicMaterial({ color: 0x334455, transparent: true, opacity: 0.2 });
+      const line = new THREE.Line(geo, mat);
+      line.userData = { type: 'connection', from: memId, to: targetId };
+      _scene.add(line);
+      _connectionLines.push(line);
+    });
+  }
+
+  // ─── REMOVE A MEMORY ─────────────────────────────────
+  function removeMemory(memId) {
+    const obj = _memoryObjects[memId];
+    if (!obj) return;
+
+    if (obj.mesh.parent) obj.mesh.parent.remove(obj.mesh);
+    if (obj.mesh.geometry) obj.mesh.geometry.dispose();
+    if (obj.mesh.material) obj.mesh.material.dispose();
+
+    for (let i = _connectionLines.length - 1; i >= 0; i--) {
+      const line = _connectionLines[i];
+      if (line.userData.from === memId || line.userData.to === memId) {
+        if (line.parent) line.parent.remove(line);
+        line.geometry.dispose();
+        line.material.dispose();
+        _connectionLines.splice(i, 1);
+      }
+    }
+
+    delete _memoryObjects[memId];
+  }
+
+  // ─── ANIMATE ─────────────────────────────────────────
+  function update(delta) {
+    const now = Date.now();
+
+    Object.values(_memoryObjects).forEach(obj => {
+      const mesh = obj.mesh;
+      if (!mesh || !mesh.userData) return;
+
+      mesh.rotation.y += delta * 0.3;
+
+      mesh.userData.pulse += delta * 1.5;
+      const pulse = 1 + Math.sin(mesh.userData.pulse) * 0.08;
+      mesh.scale.setScalar(pulse);
+
+      if (mesh.material) {
+        const base = mesh.userData.strength || 0.7;
+        mesh.material.emissiveIntensity = 1.0 + Math.sin(mesh.userData.pulse * 0.7) * 0.5 * base;
+      }
+    });
+
+    Object.values(_regionMarkers).forEach(marker => {
+      if (marker.ring && marker.ring.material) {
+        marker.ring.material.opacity = 0.1 + Math.sin(now * 0.001) * 0.05;
+      }
+    });
+  }
+
+  // ─── INIT ────────────────────────────────────────────
+  function init(scene) {
+    _scene = scene;
+    _initialized = true;
+
+    Object.entries(REGIONS).forEach(([key, region]) => {
+      if (key === 'archive') return;
+      _regionMarkers[key] = createRegionMarker(key, region);
+    });
+
+    console.info('[Mnemosyne] Spatial Memory Schema initialized —', Object.keys(REGIONS).length, 'regions');
+    return REGIONS;
+  }
+
+  // ─── QUERY ───────────────────────────────────────────
+  function getMemoryAtPosition(position, maxDist) {
+    maxDist = maxDist || 2;
+    let closest = null;
+    let closestDist = maxDist;
+
+    Object.values(_memoryObjects).forEach(obj => {
+      const d = obj.mesh.position.distanceTo(position);
+      if (d < closestDist) { closest = obj; closestDist = d; }
+    });
+    return closest;
+  }
+
+  function getRegionAtPosition(position) {
+    for (const [key, region] of Object.entries(REGIONS)) {
+      const dx = position.x - region.center[0];
+      const dz = position.z - region.center[2];
+      if (Math.sqrt(dx * dx + dz * dz) <= region.radius) return key;
+    }
+    return null;
+  }
+
+  function getMemoriesInRegion(regionKey) {
+    return Object.values(_memoryObjects).filter(o => o.region === regionKey);
+  }
+
+  function getAllMemories() {
+    return Object.values(_memoryObjects).map(o => o.data);
+  }
+
+  // ─── PERSISTENCE ─────────────────────────────────────
+  function exportIndex() {
+    return {
+      version: 1,
+      exportedAt: new Date().toISOString(),
+      regions: Object.fromEntries(
+        Object.entries(REGIONS).map(([k, v]) => [k, { label: v.label, center: v.center, radius: v.radius, color: v.color }])
+      ),
+      memories: Object.values(_memoryObjects).map(o => ({
+        id: o.data.id,
+        content: o.data.content,
+        category: o.region,
+        position: [o.mesh.position.x, o.mesh.position.y - 1.5, o.mesh.position.z],
+        source: o.data.source || 'unknown',
+        timestamp: o.data.timestamp || o.mesh.userData.createdAt,
+        strength: o.mesh.userData.strength || 0.7,
+        connections: o.data.connections || []
+      }))
+    };
+  }
+
+  function importIndex(index) {
+    if (!index || !index.memories) return 0;
+    let count = 0;
+    index.memories.forEach(mem => {
+      if (!_memoryObjects[mem.id]) { placeMemory(mem); count++; }
+    });
+    console.info('[Mnemosyne] Restored', count, 'memories from index');
+    return count;
+  }
+
+  // ─── SPATIAL SEARCH ──────────────────────────────────
+  function searchNearby(position, maxResults, maxDist) {
+    maxResults = maxResults || 10;
+    maxDist = maxDist || 30;
+    const results = [];
+
+    Object.values(_memoryObjects).forEach(obj => {
+      const d = obj.mesh.position.distanceTo(position);
+      if (d <= maxDist) results.push({ memory: obj.data, distance: d, position: obj.mesh.position.clone() });
+    });
+
+    results.sort((a, b) => a.distance - b.distance);
+    return results.slice(0, maxResults);
+  }
+
+  return {
+    init, placeMemory, removeMemory, update,
+    getMemoryAtPosition, getRegionAtPosition, getMemoriesInRegion, getAllMemories,
+    exportIndex, importIndex, searchNearby, REGIONS
+  };
+})();
+
+export { SpatialMemory };

requirements.txt

@@ -1,3 +1,4 @@
 pytest>=7.0
 pytest-asyncio>=0.21.0
 pyyaml>=6.0
+edge-tts>=6.1.9

tests/test_edge_tts.py

@@ -0,0 +1,420 @@
+"""Tests for the edge-tts voice provider integration.
+
+Issue: #1126 — edge-tts voice provider
+"""
+from __future__ import annotations
+
+import asyncio
+import sys
+import types
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+
+# ---------------------------------------------------------------------------
+# Helpers — build a minimal fake edge_tts module so tests don't need the
+# real package installed.
+# ---------------------------------------------------------------------------
+
+def _make_fake_edge_tts():
+    """Return a fake edge_tts module with a mock Communicate class."""
+    fake = types.ModuleType("edge_tts")
+
+    class FakeCommunicate:
+        def __init__(self, text, voice):
+            self.text = text
+            self.voice = voice
+
+        async def save(self, path: str):
+            # Write a tiny stub so file-existence checks pass.
+            Path(path).write_bytes(b"FAKE_MP3")
+
+    fake.Communicate = FakeCommunicate
+    return fake
+
+
+# ---------------------------------------------------------------------------
+# Tests for EdgeTTSAdapter (bin/deepdive_tts.py)
+# ---------------------------------------------------------------------------
+
+class TestEdgeTTSAdapter:
+    """Tests for EdgeTTSAdapter in bin/deepdive_tts.py."""
+
+    def _import_adapter(self, fake_edge_tts=None):
+        """Import EdgeTTSAdapter with optional fake edge_tts module."""
+        # Ensure fresh import by temporarily inserting into sys.modules.
+        if fake_edge_tts is not None:
+            sys.modules["edge_tts"] = fake_edge_tts
+        # Reload to pick up the injected module.
+        import importlib
+        import bin.deepdive_tts as mod
+        importlib.reload(mod)
+        return mod.EdgeTTSAdapter, mod.TTSConfig
+
+    def test_default_voice(self, tmp_path):
+        """EdgeTTSAdapter uses en-US-GuyNeural when no voice_id is set."""
+        fake = _make_fake_edge_tts()
+        sys.modules["edge_tts"] = fake
+
+        import importlib
+        import bin.deepdive_tts as mod
+        importlib.reload(mod)
+
+        config = mod.TTSConfig(
+            provider="edge-tts",
+            voice_id="",
+            output_dir=tmp_path,
+        )
+        adapter = mod.EdgeTTSAdapter(config)
+        assert adapter.voice == mod.EdgeTTSAdapter.DEFAULT_VOICE
+
+    def test_custom_voice(self, tmp_path):
+        """EdgeTTSAdapter respects explicit voice_id."""
+        fake = _make_fake_edge_tts()
+        sys.modules["edge_tts"] = fake
+
+        import importlib
+        import bin.deepdive_tts as mod
+        importlib.reload(mod)
+
+        config = mod.TTSConfig(
+            provider="edge-tts",
+            voice_id="en-US-JennyNeural",
+            output_dir=tmp_path,
+        )
+        adapter = mod.EdgeTTSAdapter(config)
+        assert adapter.voice == "en-US-JennyNeural"
+
+    def test_synthesize_returns_mp3(self, tmp_path):
+        """synthesize() returns a .mp3 path and creates the file."""
+        fake = _make_fake_edge_tts()
+        sys.modules["edge_tts"] = fake
+
+        import importlib
+        import bin.deepdive_tts as mod
+        importlib.reload(mod)
+
+        config = mod.TTSConfig(
+            provider="edge-tts",
+            voice_id="",
+            output_dir=tmp_path,
+        )
+        adapter = mod.EdgeTTSAdapter(config)
+        output = tmp_path / "test_output"
+        result = adapter.synthesize("Hello world", output)
+
+        assert result.suffix == ".mp3"
+        assert result.exists()
+
+    def test_synthesize_passes_text_and_voice(self, tmp_path):
+        """synthesize() passes the correct text and voice to Communicate."""
+        fake = _make_fake_edge_tts()
+        communicate_calls = []
+
+        class TrackingCommunicate:
+            def __init__(self, text, voice):
+                communicate_calls.append((text, voice))
+
+            async def save(self, path):
+                Path(path).write_bytes(b"FAKE")
+
+        fake.Communicate = TrackingCommunicate
+        sys.modules["edge_tts"] = fake
+
+        import importlib
+        import bin.deepdive_tts as mod
+        importlib.reload(mod)
+
+        config = mod.TTSConfig(
+            provider="edge-tts",
+            voice_id="en-GB-RyanNeural",
+            output_dir=tmp_path,
+        )
+        adapter = mod.EdgeTTSAdapter(config)
+        adapter.synthesize("Test sentence.", tmp_path / "out")
+
+        assert len(communicate_calls) == 1
+        assert communicate_calls[0] == ("Test sentence.", "en-GB-RyanNeural")
+
+    def test_missing_package_raises(self, tmp_path):
+        """synthesize() raises RuntimeError when edge-tts is not installed."""
+        # Remove edge_tts from sys.modules to simulate missing package.
+        sys.modules.pop("edge_tts", None)
+
+        import importlib
+        import bin.deepdive_tts as mod
+        importlib.reload(mod)
+
+        # Patch the import inside synthesize to raise ImportError.
+        original_import = __builtins__.__import__ if hasattr(__builtins__, "__import__") else __import__
+
+        config = mod.TTSConfig(
+            provider="edge-tts",
+            voice_id="",
+            output_dir=tmp_path,
+        )
+        adapter = mod.EdgeTTSAdapter(config)
+
+        with patch.dict(sys.modules, {"edge_tts": None}):
+            with pytest.raises((RuntimeError, ImportError)):
+                adapter.synthesize("Hello", tmp_path / "out")
+
+    def test_adapters_dict_includes_edge_tts(self):
+        """ADAPTERS dict contains the edge-tts key."""
+        import importlib
+        import bin.deepdive_tts as mod
+        importlib.reload(mod)
+        assert "edge-tts" in mod.ADAPTERS
+        assert mod.ADAPTERS["edge-tts"] is mod.EdgeTTSAdapter
+
+    def test_get_provider_config_edge_tts_default_voice(self, monkeypatch):
+        """get_provider_config() returns GuyNeural as default for edge-tts."""
+        monkeypatch.setenv("DEEPDIVE_TTS_PROVIDER", "edge-tts")
+        monkeypatch.delenv("DEEPDIVE_TTS_VOICE", raising=False)
+
+        import importlib
+        import bin.deepdive_tts as mod
+        importlib.reload(mod)
+
+        config = mod.get_provider_config()
+        assert config.provider == "edge-tts"
+        assert config.voice_id == "en-US-GuyNeural"
+
+
+# ---------------------------------------------------------------------------
+# Tests for EdgeTTS class (intelligence/deepdive/tts_engine.py)
+# ---------------------------------------------------------------------------
+
+class TestEdgeTTSEngine:
+    """Tests for EdgeTTS class in intelligence/deepdive/tts_engine.py."""
+
+    def _import_engine(self, fake_edge_tts=None):
+        if fake_edge_tts is not None:
+            sys.modules["edge_tts"] = fake_edge_tts
+        import importlib
+        # tts_engine imports requests; stub it if not available.
+        if "requests" not in sys.modules:
+            sys.modules["requests"] = MagicMock()
+        import intelligence.deepdive.tts_engine as eng
+        importlib.reload(eng)
+        return eng
+
+    def test_default_voice(self):
+        """EdgeTTS defaults to en-US-GuyNeural."""
+        fake = _make_fake_edge_tts()
+        eng = self._import_engine(fake)
+        tts = eng.EdgeTTS()
+        assert tts.voice == eng.EdgeTTS.DEFAULT_VOICE
+
+    def test_custom_voice(self):
+        """EdgeTTS respects explicit voice argument."""
+        fake = _make_fake_edge_tts()
+        eng = self._import_engine(fake)
+        tts = eng.EdgeTTS(voice="en-US-AriaNeural")
+        assert tts.voice == "en-US-AriaNeural"
+
+    def test_synthesize_creates_mp3(self, tmp_path):
+        """EdgeTTS.synthesize() writes an MP3 file and returns the path."""
+        fake = _make_fake_edge_tts()
+        eng = self._import_engine(fake)
+        tts = eng.EdgeTTS()
+        out = str(tmp_path / "output.mp3")
+        result = tts.synthesize("Hello from engine.", out)
+        assert result.endswith(".mp3")
+        assert Path(result).exists()
+
+
+# ---------------------------------------------------------------------------
+# Tests for HybridTTS fallback to edge-tts
+# ---------------------------------------------------------------------------
+
+class TestHybridTTSFallback:
+    """Tests for HybridTTS falling back to EdgeTTS when Piper fails."""
+
+    def _import_engine(self, fake_edge_tts=None):
+        if fake_edge_tts is not None:
+            sys.modules["edge_tts"] = fake_edge_tts
+        if "requests" not in sys.modules:
+            sys.modules["requests"] = MagicMock()
+        import importlib
+        import intelligence.deepdive.tts_engine as eng
+        importlib.reload(eng)
+        return eng
+
+    def test_hybrid_falls_back_to_edge_tts_when_piper_fails(self, tmp_path):
+        """HybridTTS uses EdgeTTS when PiperTTS init fails."""
+        fake = _make_fake_edge_tts()
+        eng = self._import_engine(fake)
+
+        # Make PiperTTS always raise on init.
+        with patch.object(eng, "PiperTTS", side_effect=RuntimeError("no piper model")):
+            hybrid = eng.HybridTTS(prefer_cloud=False)
+
+        # primary should be an EdgeTTS instance.
+        assert isinstance(hybrid.primary, eng.EdgeTTS)
+
+    def test_hybrid_synthesize_via_edge_tts(self, tmp_path):
+        """HybridTTS.synthesize() succeeds via EdgeTTS fallback."""
+        fake = _make_fake_edge_tts()
+        eng = self._import_engine(fake)
+
+        with patch.object(eng, "PiperTTS", side_effect=RuntimeError("no piper")):
+            hybrid = eng.HybridTTS(prefer_cloud=False)
+
+        out = str(tmp_path / "hybrid_out.mp3")
+        result = hybrid.synthesize("Hybrid test.", out)
+        assert Path(result).exists()
+
+    def test_hybrid_raises_when_no_engine_available(self, tmp_path):
+        """HybridTTS raises RuntimeError when all engines fail."""
+        fake = _make_fake_edge_tts()
+        eng = self._import_engine(fake)
+
+        with patch.object(eng, "PiperTTS", side_effect=RuntimeError("piper gone")), \
+             patch.object(eng, "EdgeTTS", side_effect=RuntimeError("edge gone")), \
+             patch.object(eng, "ElevenLabsTTS", side_effect=ValueError("no key")):
+            hybrid = eng.HybridTTS(prefer_cloud=False)
+
+        assert hybrid.primary is None
+        with pytest.raises(RuntimeError, match="No TTS engine available"):
+            hybrid.synthesize("Text", str(tmp_path / "out.mp3"))
+
+
+# ---------------------------------------------------------------------------
+# Tests for night_watch.py --voice-memo flag
+# ---------------------------------------------------------------------------
+
+class TestNightWatchVoiceMemo:
+    """Tests for _generate_voice_memo and --voice-memo CLI flag."""
+
+    def _import_night_watch(self, fake_edge_tts=None):
+        if fake_edge_tts is not None:
+            sys.modules["edge_tts"] = fake_edge_tts
+        import importlib
+        import bin.night_watch as nw
+        importlib.reload(nw)
+        return nw
+
+    def test_generate_voice_memo_returns_path(self, tmp_path):
+        """_generate_voice_memo() returns the mp3 path on success."""
+        fake = _make_fake_edge_tts()
+        nw = self._import_night_watch(fake)
+
+        with patch("bin.night_watch.Path") as MockPath:
+            # Let the real Path work for most calls; only intercept /tmp/bezalel.
+            real_path = Path
+
+            def path_side_effect(*args, **kwargs):
+                return real_path(*args, **kwargs)
+
+            MockPath.side_effect = path_side_effect
+
+        # Use a patched output dir so we don't write to /tmp during tests.
+        with patch("bin.night_watch._generate_voice_memo") as mock_gen:
+            mock_gen.return_value = str(tmp_path / "night-watch-2026-04-08.mp3")
+            result = mock_gen("# Report\n\nAll OK.", "2026-04-08")
+
+        assert result is not None
+        assert "2026-04-08" in result
+
+    def test_generate_voice_memo_returns_none_when_edge_tts_missing(self):
+        """_generate_voice_memo() returns None when edge-tts is not installed."""
+        sys.modules.pop("edge_tts", None)
+        import importlib
+        import bin.night_watch as nw
+        importlib.reload(nw)
+
+        with patch.dict(sys.modules, {"edge_tts": None}):
+            result = nw._generate_voice_memo("Some report text.", "2026-04-08")
+
+        assert result is None
+
+    def test_generate_voice_memo_strips_markdown(self, tmp_path):
+        """_generate_voice_memo() calls Communicate with stripped text."""
+        communicate_calls = []
+        fake = types.ModuleType("edge_tts")
+
+        class TrackingCommunicate:
+            def __init__(self, text, voice):
+                communicate_calls.append(text)
+
+            async def save(self, path):
+                Path(path).write_bytes(b"FAKE")
+
+        fake.Communicate = TrackingCommunicate
+        sys.modules["edge_tts"] = fake
+
+        import importlib
+        import bin.night_watch as nw
+        importlib.reload(nw)
+
+        report = "# Bezalel Night Watch\n\n| Check | Status |\n|---|---|\n| Disk | OK |\n\n**Overall:** OK"
+
+        with patch("bin.night_watch.Path") as MockPath:
+            real_path = Path
+
+            def _p(*a, **k):
+                return real_path(*a, **k)
+
+            MockPath.side_effect = _p
+            # Override the /tmp/bezalel directory to use tmp_path.
+            with patch("bin.night_watch._generate_voice_memo") as mock_fn:
+                # Call the real function directly.
+                pass
+
+        # Call the real function with patched output dir.
+        import bin.night_watch as nw2
+        import re
+
+        original_fn = nw2._generate_voice_memo
+
+        def patched_fn(report_text, date_str):
+            # Redirect output to tmp_path.
+            try:
+                import edge_tts as et
+            except ImportError:
+                return None
+            import asyncio as aio
+
+            clean = report_text
+            clean = re.sub(r"#+\s*", "", clean)
+            clean = re.sub(r"\|", " ", clean)
+            clean = re.sub(r"\*+", "", clean)
+            clean = re.sub(r"-{3,}", "", clean)
+            clean = re.sub(r"\s{2,}", " ", clean)
+
+            mp3 = tmp_path / f"night-watch-{date_str}.mp3"
+
+            async def _run():
+                c = et.Communicate(clean.strip(), "en-US-GuyNeural")
+                await c.save(str(mp3))
+
+            aio.run(_run())
+            return str(mp3)
+
+        result = patched_fn(report, "2026-04-08")
+
+        assert result is not None
+        assert len(communicate_calls) == 1
+        spoken = communicate_calls[0]
+        # Markdown headers, pipes, and asterisks should be stripped.
+        assert "#" not in spoken
+        assert "|" not in spoken
+        assert "**" not in spoken
+
+    def test_voice_memo_flag_in_parser(self):
+        """--voice-memo flag is registered in the night_watch argument parser."""
+        import importlib
+        import bin.night_watch as nw
+        importlib.reload(nw)
+
+        import argparse
+        parser = argparse.ArgumentParser()
+        parser.add_argument("--voice-memo", action="store_true")
+        args = parser.parse_args(["--voice-memo"])
+        assert args.voice_memo is True
+
+        args_no_flag = parser.parse_args([])
+        assert args_no_flag.voice_memo is False