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Future Roadmap

The roadmap should stay aligned with the architectural direction described in the PoSyMed paper: stronger control, better reproducibility, richer semantics, and more useful but still bounded AI support.

Short-term​

  • Better validation and editing support for tool definition files
  • Stronger run comparison and artifact review in the UI
  • A richer transformation and preprocessing system for client-side data preparation
  • Better documentation and visibility for execution state, logs, and provenance

Mid-term​

  • Stronger semantic typing for tools, workflows, and compatible inputs
  • Improved observability dashboards for runs, projects, and platform health
  • Better support for policy-driven access control across users, groups, and datasets
  • Knowledge-graph-assisted exploration of tools, data, and result relationships

Long-term​

  • More advanced federated execution support, including federated learning patterns
  • Stronger agent planning and validation for LLM-assisted workflows
  • Comparative evaluation against alternative workflow and assistant approaches
  • More flexible infrastructure backends without weakening controlled execution guarantees

Guiding principle​

New features should not weaken the core model. The platform becomes more valuable when it increases usability while preserving:

  • explicit contracts
  • traceable execution
  • human oversight
  • deployment and security control