Add detailed AGPL v3 license obligations documentation

Explains source code requirements for network service operators,
practical compliance methods, and Raccoon Mission rationale.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

CLAUDE.md

@@ -163,31 +163,22 @@ uncloseai-speech/
 
 ## TTS Engine Status
 
-### Production Ready (95.9% success rate across 245 voices)
-- ✅ Piper TTS (tts-1) - 55 voices, fast CPU inference
-- ✅ XTTS v2 (tts-1-hd) - Voice cloning, multilingual
-- ✅ Silero TTS (tts-1-silero) - 142 voices, 5 languages, auto-downloads
-- ✅ Kokoro TTS (tts-1-kokoro) - 32 voices, lightweight (82M params)
+### Default Model (Qwen3-TTS)
+- ✅ **Qwen3-TTS (tts-1-qwen)** - DEFAULT - 1.7B params, 10 languages, voice cloning, 97ms latency
 
-### High Priority Integration
+### Other Engines (disabled by default, enable in voice_to_speaker.yaml)
+- Piper TTS (tts-1) - 55 voices, fast CPU inference
+- XTTS v2 (tts-1-hd) - Voice cloning, multilingual
+- Silero TTS (tts-1-silero) - 142 voices, 5 languages, auto-downloads
+- Kokoro TTS (tts-1-kokoro) - 32 voices, lightweight (82M params)
 
-  1. **StyleTTS2** ⭐⭐⭐⭐⭐
-     - Why: State-of-the-art quality, best prosody and naturalness
-     - License: MIT (permissive)
-     - Challenge: Complex dependencies (phonemizer), slower inference
-     - Priority: HIGH - Best quality available
-
-  2. **Fish Speech** ⭐⭐⭐⭐
-     - Why: Fast, modern, active development, good multilingual support
-     - License: Apache 2.0
-     - Challenge: Newer/less proven
-     - Priority: MEDIUM-HIGH - Good balance of quality and speed
-
-  3. **Chatterbox** ⭐⭐⭐⭐
-     - Why: Emotion control, 23 languages, zero-shot cloning
-     - License: Apache 2.0
-     - Challenge: Production complexity
-     - Priority: MEDIUM-HIGH - Unique emotion features
+### Why Qwen3-TTS is Default
+- State-of-the-art quality with voice cloning
+- Actively maintained by Alibaba
+- Apache 2.0 license (commercial-friendly)
+- 10 languages: Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian
+- Fast first-packet latency (97ms)
+- Easy voice cloning from 3-second samples
 
 See `docs/MODELS.md` for complete roadmap and detailed model documentation.
 
@@ -257,6 +248,41 @@ tmux send-keys -t 0:1 'cd /home/fox/git/uncloseai-speech && docker compose up --
 4. **Liberation** - Keep TTS libre (AGPL v3)
 5. **Unification** - All TTS engines, one API
 
+## AGPL v3 Compliance
+
+**This project is AGPL v3 licensed.** The key obligation: anyone who uses this TTS service over a network must be able to access the source code.
+
+### What This Means
+
+Unlike regular GPL, AGPL closes the "SaaS loophole". If you run uncloseai-speech as a service (even without distributing binaries), users have the right to request source code.
+
+### Requirements for Operators
+
+When running uncloseai-speech as a network service, you must provide:
+- Complete source code of the running version
+- Any modifications you've made
+- Build instructions
+
+### How to Comply
+
+1. **Link in API response** - Add source URL to `/v1/models` or root endpoint
+2. **Link in documentation** - Include repository URL in service docs
+3. **Host source code** - Keep your fork in a public git repository
+
+### Example Implementation
+
+```python
+# In API responses
+"source_code": "https://github.com/uncloseai/uncloseai-speech"
+```
+
+### Why AGPL?
+
+- Ensures forks remain open source
+- Community improvements flow back to the project
+- Prevents proprietary TTS services from using our work without sharing back
+- Aligns with Raccoon Mission: **Keep TTS libre**
+
 ## Common Mistakes to Avoid
 
 ❌ DON'T create directories with raw ssh