feat: implement v0.2.0 release features - agent-first evolution

✅ v0.2 Release Preparation:
- Update version to 0.2.0 in pyproject.toml
- Create release build script for CLI binaries
- Generate comprehensive release notes

✅ OpenClaw DAO Governance:
- Implement complete on-chain voting system
- Create DAO smart contract with Governor framework
- Add comprehensive CLI commands for DAO operations
- Support for multiple proposal types and voting mechanisms

✅ GPU Acceleration CI:
- Complete GPU benchmark CI workflow
- Comprehensive performance testing suite
- Automated benchmark reports and comparison
- GPU optimization monitoring and alerts

✅ Agent SDK Documentation:
- Complete SDK documentation with examples
- Computing agent and oracle agent examples
- Comprehensive API reference and guides
- Security best practices and deployment guides

✅ Production Security Audit:
- Comprehensive security audit framework
- Detailed security assessment (72.5/100 score)
- Critical issues identification and remediation
- Security roadmap and improvement plan

✅ Mobile Wallet & One-Click Miner:
- Complete mobile wallet architecture design
- One-click miner implementation plan
- Cross-platform integration strategy
- Security and user experience considerations

✅ Documentation Updates:
- Add roadmap badge to README
- Update project status and achievements
- Comprehensive feature documentation
- Production readiness indicators

🚀 Ready for v0.2.0 release with agent-first architecture

docs/advanced/03_architecture/edge_gpu_setup.md

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+# Edge GPU Setup Guide
+
+## Overview
+This guide covers setting up edge GPU optimization for consumer-grade hardware in the AITBC marketplace.
+
+## Prerequisites
+
+### Hardware Requirements
+- NVIDIA GPU with compute capability 7.0+ (Turing architecture or newer)
+- Minimum 6GB VRAM for edge optimization
+- Linux operating system with NVIDIA drivers
+
+### Software Requirements
+- NVIDIA CUDA Toolkit 11.0+
+- Ollama GPU inference engine
+- Python 3.8+ with required packages
+
+## Installation
+
+### 1. Install NVIDIA Drivers
+```bash
+# Ubuntu/Debian
+sudo apt update
+sudo apt install nvidia-driver-470
+
+# Verify installation
+nvidia-smi
+```
+
+### 2. Install CUDA Toolkit
+```bash
+# Download and install CUDA
+wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
+sudo sh cuda_11.8.0_520.61.05_linux.run
+
+# Add to PATH
+echo 'export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}' >> ~/.bashrc
+echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc
+source ~/.bashrc
+```
+
+### 3. Install Ollama
+```bash
+# Install Ollama
+curl -fsSL https://ollama.ai/install.sh | sh
+
+# Start Ollama service
+sudo systemctl start ollama
+sudo systemctl enable ollama
+```
+
+### 4. Configure GPU Miner
+```bash
+# Clone and setup AITBC
+git clone https://github.com/aitbc/aitbc.git
+cd aitbc
+
+# Configure GPU miner
+cp scripts/gpu/gpu_miner_host.py.example scripts/gpu/gpu_miner_host.py
+# Edit configuration with your miner credentials
+```
+
+## Configuration
+
+### Edge GPU Optimization Settings
+```python
+# In gpu_miner_host.py
+EDGE_CONFIG = {
+    "enable_edge_optimization": True,
+    "geographic_region": "us-west",  # Your region
+    "latency_target_ms": 50,
+    "power_optimization": True,
+    "thermal_management": True
+}
+```
+
+### Ollama Model Selection
+```bash
+# Pull edge-optimized models
+ollama pull llama2:7b  # ~4GB, good for edge
+ollama pull mistral:7b # ~4GB, efficient
+
+# List available models
+ollama list
+```
+
+## Testing
+
+### GPU Discovery Test
+```bash
+# Run GPU discovery
+python scripts/gpu/gpu_miner_host.py --test-discovery
+
+# Expected output:
+# Discovered GPU: RTX 3060 (Ampere)
+# Edge optimized: True
+# Memory: 12GB
+# Compatible models: llama2:7b, mistral:7b
+```
+
+### Latency Test
+```bash
+# Test geographic latency
+python scripts/gpu/gpu_miner_host.py --test-latency us-east
+
+# Expected output:
+# Latency to us-east: 45ms
+# Edge optimization: Enabled
+```
+
+### Inference Test
+```bash
+# Test ML inference
+python scripts/gpu/gpu_miner_host.py --test-inference
+
+# Expected output:
+# Model: llama2:7b
+# Inference time: 1.2s
+# Edge optimized: True
+# Privacy preserved: True
+```
+
+## Troubleshooting
+
+### Common Issues
+
+#### GPU Not Detected
+```bash
+# Check NVIDIA drivers
+nvidia-smi
+
+# Check CUDA installation
+nvcc --version
+
+# Reinstall drivers if needed
+sudo apt purge nvidia*
+sudo apt autoremove
+sudo apt install nvidia-driver-470
+```
+
+#### High Latency
+- Check network connection
+- Verify geographic region setting
+- Consider edge data center proximity
+
+#### Memory Issues
+- Reduce model size (use 7B instead of 13B)
+- Enable memory optimization in Ollama
+- Monitor GPU memory usage with nvidia-smi
+
+#### Thermal Throttling
+- Improve GPU cooling
+- Reduce power consumption settings
+- Enable thermal management in miner config
+
+## Performance Optimization
+
+### Memory Management
+```python
+# Optimize memory usage
+OLLAMA_CONFIG = {
+    "num_ctx": 1024,      # Reduced context for edge
+    "num_batch": 256,     # Smaller batches
+    "num_gpu": 1,         # Single GPU for edge
+    "low_vram": True      # Enable low VRAM mode
+}
+```
+
+### Network Optimization
+```python
+# Optimize for edge latency
+NETWORK_CONFIG = {
+    "use_websockets": True,
+    "compression": True,
+    "batch_size": 10,     # Smaller batches for lower latency
+    "heartbeat_interval": 30
+}
+```
+
+### Power Management
+```python
+# Power optimization settings
+POWER_CONFIG = {
+    "max_power_w": 200,   # Limit power consumption
+    "thermal_target_c": 75,  # Target temperature
+    "auto_shutdown": True    # Shutdown when idle
+}
+```
+
+## Monitoring
+
+### Performance Metrics
+Monitor key metrics for edge optimization:
+- GPU utilization (%)
+- Memory usage (GB)
+- Power consumption (W)
+- Temperature (°C)
+- Network latency (ms)
+- Inference throughput (tokens/sec)
+
+### Health Checks
+```bash
+# GPU health check
+nvidia-smi --query-gpu=temperature.gpu,utilization.gpu,memory.used,memory.total --format=csv
+
+# Ollama health check
+curl http://localhost:11434/api/tags
+
+# Miner health check
+python scripts/gpu/gpu_miner_host.py --health-check
+```
+
+## Security Considerations
+
+### GPU Isolation
+- Run GPU workloads in sandboxed environments
+- Use NVIDIA MPS for multi-process isolation
+- Implement resource limits per miner
+
+### Network Security
+- Use TLS encryption for all communications
+- Implement API rate limiting
+- Monitor for unauthorized access attempts
+
+### Privacy Protection
+- Ensure ZK proofs protect model inputs
+- Use FHE for sensitive data processing
+- Implement audit logging for all operations