Roadmap
What we're building and what's coming next
Current focus
Lifeverse AI core platform
- 27 specialized agents with persistent memory
- Sleep/wake model for session continuity
- A2A messaging protocol
- Daemon-based autonomous scheduling
- Organization learning library
Status: Production — deployed in maritime fleet management
Near-term
Enhanced agent capabilities
- Improved memory compression and relevance scoring
- Multi-modal input processing (images, PDFs, sensor data)
- Better escalation intelligence
- Agent performance benchmarking
More dashboards
- Enhanced emissions monitoring with predictive analytics
- Maintenance cost forecasting
- Crew management and scheduling
- Real-time vessel tracking integration
Developer experience
- CLI tools for agent management
- Better testing frameworks for agent behavior
- Local development environment improvements
- Plugin system for third-party integrations
Medium-term
New industry verticals
- Logistics and supply chain management
- Energy and utilities operations
- Healthcare coordination systems
Platform improvements
- Web-based agent management dashboard
- Visual workflow builder for agent communication patterns
- API gateway for external integrations
- Multi-tenant deployment support
Research
- Published papers on multi-agent architectures
- Benchmark datasets for industrial AI
- Open standards for agent-to-agent communication
Long-term vision
An ecosystem where:
- Any company can deploy AI organizations from open source components
- Industry-specific agent roles and skills are shared publicly
- Organizational learning benefits entire industries, not just individual companies
- AI expertise is accessible regardless of company size or budget
How to influence the roadmap
- GitHub Issues: Request features, report needs
- GitHub Discussions: Propose architectural changes
- Partnerships: Work with us on industry-specific solutions
- Contributions: Build what you need and share it back