# GoClaw Appliance — Vision and Long-Term Roadmap Document > "A box that sits in the user's home or office, runs without internet access, understands Mongolian, and acts as their personal AI employee." **Status:** Vision / Long-term Roadmap **Date:** 2026-03-30 The GoClaw Appliance is a box that sits in the user's home or office, runs without internet access, understands Mongolian, and acts as their personal AI employee. This page is the vision and long-term roadmap for it. --- ## 1. Why Do We Need This? ### The Problem Alexa, Google Home, Apple HomePod — the world's most famous AI assistants: ``` ❌ Do not understand Mongolian ❌ Send all your conversations to Amazon/Google servers ❌ Do not work if the internet is down ❌ Cannot be customized or extended (black box) ❌ Require subscriptions and suffer from cloud lock-in ``` ### Our Answer ``` ✅ Native support for the Mongolian language ✅ Your voice recordings never leave your premises ✅ Offline-first — works even without internet access ✅ Leverages all GoClaw SOPs, tools, and memory ✅ One-time purchase, no subscription fees ``` --- ## 2. Product Description ### GoClaw Box ```mermaid flowchart TD subgraph BOX["GoClaw One — Matte Black / White Cylinder (iPhone height)"] LED["LED Ring
12x RGB status indicator"] LOGO["GoClaw Logo"] MIC["Mic Array
6-mic ReSpeaker (360° wake word)"] SPK["Speaker
360° full-range sound"] PORTS["Ports
USB-C Power · Gigabit Ethernet"] LED --- LOGO --- MIC --- SPK --- PORTS end ``` ### Target Audience | Segment | Use Case | Benefits | |---|---|---| | **Enterprise** | Office AI assistant in meeting rooms | Fetch GitLab reports and query DBs via voice commands | | **Family** | Mongolian smart home voice assistant | Weather, schedules, and reminders | | **Developers** | Local AI dev environment | Perform code reviews and git operations via voice commands | | **Government** | Classified/secure environments | Air-gapped deployment, zero data leaks | --- ## 3. Technical Architecture ### Hardware Stack ```mermaid flowchart TD subgraph HW["GoClaw One Hardware Stack (BOM: $120-150 · Retail: $299-399)"] direction LR PROC["PROCESSING
Intel N100 / ARM (mini PC SBC)
RAM: 16GB LPDDR5
Storage: 128GB NVMe (OS + models)"] IN["AUDIO INPUT
ReSpeaker 6-mic Array (360° wake word)
Echo cancellation built-in"] OUT["AUDIO OUTPUT
HiFiBerry DAC+ / Class D amplifier
2x 2.5 in full-range speaker"] CONN["CONNECTIVITY & STATUS
Gigabit Ethernet · WiFi 6 · Bluetooth 5.0
RGB LED ring (12 LEDs — WS2812B)"] end ``` ### Software Stack ```mermaid flowchart TD L4["LAYER 4: MEMORY & SKILLS
SQLite (local, encrypted) · GoClaw SOP engine · GoClaw skill registry"] L3["LAYER 3: INTELLIGENCE
GoClaw binary (single static binary) · Ollama (offline LLM — qwen2.5:7b) · Cloud API fallback (Gemini/Claude)"] L2["LAYER 2: VOICE PIPELINE
Wake word: OpenWakeWord 'Hey GoClaw' · STT: Whisper (faster-whisper, small) · TTS: Piper TTS (Mongolian model)"] L1["LAYER 1: OS
Custom Linux image (LinuxKit / Buildroot) · Kernel 6.x + network + audio subsystem only · Boot time: < 5 sec (NVMe)"] L4 --> L3 --> L2 --> L1 ``` ### Offline / Online Hybrid Flow ```mermaid flowchart TD SPEAK["User speaks"] --> WAKE["Wake word
100% local"] WAKE --> STT["Whisper STT
100% local, ~0.5-1 sec"] STT --> NET{"Is there Internet?"} NET -->|YES| CLOUD["Gemini / Claude
Fast, high-quality"] NET -->|NO| LOCAL["Local Ollama
Slower, offline"] CLOUD --> GC["GoClaw
SOP, tools, memory"] LOCAL --> GC GC --> TTS["Piper TTS
100% local"] TTS --> OUT["Speaker speaks response"] ``` --- ## 4. Mongolian Language Challenges This is the largest technical hurdle. Let's list them honestly. ### 4.1 Speech-to-Text (STT) ``` Current Status: Whisper large-v3 → Mongolian ~60-70% accuracy For smaller models (tiny/small) → even lower Technical terms and regional dialects → weak Proposed Mitigation: 1. Expand the Common Voice MN dataset (community-driven) 2. Fine-tune Whisper small on Mongolian data 3. Inject domain vocabulary bias (GoClaw commands) ``` ### 4.2 Text-to-Speech (TTS) ``` Current Status: Piper TTS → No Mongolian voice model available Google/Azure TTS → Mongolian models exist (cloud-only) XTTS-v2 zero-shot → Not optimized for Mongolian Proposed Mitigation: 1. Collect 10+ hours of high-quality Mongolian audio/text dataset 2. Train a Mongolian model on Piper VITS 3. Interim solution: Google/Azure TTS (online mode) basic fallback voice (offline mode) ``` ### 4.3 Wake Word ``` "Hey GoClaw" Mongolian pronunciation: → OpenWakeWord custom model (~30 min of training data is sufficient) → Personal mode — customize with the user's own voice → Community wake word — covering multiple accents and speakers ``` --- ## 5. Roadmap ### Phase 1 — Proof of Concept (3-6 months) ``` [ ] GoClaw static binary (CGO-free, modernc/sqlite) [ ] Ollama + GoClaw on an Intel N100 Mini PC [ ] Whisper tiny/base Mongolian test [ ] USB mic + speaker prototype [ ] Detect "hey goclaw" wake word [ ] LED ring status indicator Milestone: A desk-friendly demo prototype ``` ### Phase 2 — Voice Pipeline (6-12 months) ``` [ ] Collect Mongolian STT dataset (community effort) [ ] Whisper small → Mongolian fine-tuning [ ] Mongolian TTS voice model (Piper) [ ] Custom wake word model [ ] Integrate hybrid cloud/offline routing into GoClaw [ ] Extend tool_voice_input.go ``` ### Phase 3 — Hardware Design (12-18 months) ``` [ ] PCB design (Intel N100 / CM4 based) [ ] 3D print enclosure prototype [ ] Integrate ReSpeaker 6-mic array [ ] Speaker + amplifier tuning [ ] Custom Linux OS image (LinuxKit/Buildroot) [ ] Secure boot + OTA update Milestone: 10-20 hand-assembled prototypes ``` ### Phase 4 — Pilot Program (18-24 months) ``` [ ] 10-50 pilot users (Mongolian companies) [ ] Privacy audit (certify that all data remains strictly local) [ ] Feedback → iterate [ ] Establish pricing model ($299 target) Milestone: Proven, user-accepted appliance in real environments ``` ### Phase 5 — Production and Release (24+ months) ``` [ ] Manufacturing partner [ ] B2B sales targeting Mongolian organizations [ ] Open source hardware design (CC BY-SA) Milestone: Full market release ``` --- ## 6. Competitor Comparison | | Alexa Echo | Google Home | Humane Pin | **GoClaw One** | |---|---|---|---|---| | Mongolian language | ❌ | ❌ | ❌ | ✅ | | Privacy | ❌ Cloud | ❌ Cloud | ⚠️ | ✅ 100% Local | | Offline | ❌ | ❌ | ❌ | ✅ hybrid | | Customizable SOP | ⚠️ | ⚠️ | ❌ | ✅ | | Enterprise | ❌ | ❌ | ❌ | ✅ | | Open source | ❌ | ❌ | ❌ | ✅ | | Price | $50-250 | $30-150 | $699+sub | **$299 target** | --- ## 7. Open Issues ``` 🔴 HARD — Critical Hurdles: → Mongolian TTS dataset (10+ hours of high-quality audio) → Mongolian STT accuracy for technical terminology → Keeping hardware costs within a $150 BOM while ensuring quality Proposed Mitigation: → Dialects/accent variation in wake word detection → Offline LLM quality (limitations of 7B models) → OTA update security 🟢 RESOLVED — Already Available: → GoClaw static binary compilation works → Ollama fallback (fallback.go is ready) → SOP + memory engines are ready → Hybrid routing is supported → tool_voice_input.go base is ready ``` --- ## 8. Open Source Foundations ``` STT: OpenAI Whisper (MIT) TTS: Piper TTS (MIT) Wake word: OpenWakeWord (Apache 2.0) LLM: Ollama + Llama/Qwen (MIT/Apache) OS: Linux + LinuxKit (GPL/Apache) Core: GoClaw (proprietary; binary-use license) Hardware design: CC BY-SA — schematics are publicly open ``` --- ## 9. One-Line Definition > **"A Mongolian-language, privacy-first, offline-capable AI assistant — in your room, on your desk, heard by no one else."** --- *Journey started: 2026-03-30* *Recorded as one of the dreams of the GoClaw project.*