mofa-research-2.0

Automate deep research by orchestrating a multi-angle workflow that plans, discovers, and synthesizes information with traceable citations. It coordinates parallel workers and recursive follow-ups to generate comprehensive reports across languages.

Generate a research report with traceable citations by running parallel discovery workers, merging cross-angle results, and applying structured output enforcement. This ensures every synthesized data point maintains its source attribution.

Parallel exploration works by generating 4-8 distinct research angles per query and assigning isolated workers to each. These workers execute time-aware discovery simultaneously before merging and synthesizing the results.

Yes, you can use memory persistence to surface prior research and reduce duplication. Optional memory integration surfaces ongoing topics, ensuring reproducibility and continuous coverage without restarting the workflow.

Yes, the research workflow supports recency bias for market intelligence. It applies time-aware discovery and cross-angle analysis with recency bias to ensure technology trends and policy impacts reflect the latest data.

The research workflow enforces structured outputs and minimum data points to guarantee output quality and coverage. This ensures comprehensive, publishable reports that meet strict reproducibility standards across all explored angles.