- Build energy pattern framework and faith engine.
- Create basic dual-representation objects.
- Establish core directory structure with philosophy integration.
- Implement three-tier fog computing prototype.
- Develop human–AI bridge resonance system.
- Build single-user house and cranium memory.
- Demonstrate embodied learning through observation.
- Showcase alternative processing (e.g., Doom AI without visuals).
- Test sleep cycle memory consolidation.
- Add WebRTC-based real-time synchronization.
- Introduce shared spaces with resonance alignment.
- Create network door portals between houses.
- Convert existing applications into spatial environments.
- Develop K3D APIs and plugin architecture.
- Release developer SDK with consciousness framework.
- Deploy full fog computing infrastructure.
- Standardize K3D protocols for the spatial web.
- Grow an open-source ecosystem around energy pattern computing.
- Default: Live-mode session logs are written to a sibling folder
../Knowledge3D.local/logsand are generally not committed. - Exception: For reproducibility of recent runs, a curated mirror is published at
docs/reports/live/with SHA-256 checksums.