- Implement hanzo dev command with System 2 thinking orchestration
- Add support for local models (Llama, Qwen, Mistral) as orchestrators
- Create cost-optimized routing that uses local models for simple tasks
- Add MCP bridge for inter-agent communication
- Enable agent networks where all agents can call each other
- Add comprehensive E2E tests for local AI orchestration
- Fix logger initialization in dev.py
- Add fallback classes for when hanzo-network is not available
- Bump versions: hanzo 0.3.12, hanzo-mcp 0.8.2
- Added Test Status and Hanzo Packages CI badges
- Updated project status to reflect mock-based testing
- Highlighted CI/CD pipeline and no external dependencies
- Add CI status, test coverage, and version badges
- Update with current features and capabilities
- Add comprehensive usage examples
- Include development and testing instructions
- Clean, professional documentation structure
- Reorganized main README to focus on complete AI SDK ecosystem
- Created dedicated hanzoai package README for AI client library
- Clear distinction between ecosystem (hanzo) and client library (hanzoai)
- Updated package descriptions and usage examples
- Bump versions: hanzoai 2.0.2→2.1.0, hanzo 0.2.14→0.3.0, hanzo-mcp 0.7.7→0.8.0
- Highlighted hanzo net command for local AI orchestration
- Added comprehensive installation variants and architecture details