bookstrap-research

You can automate web research to fill knowledge gaps by running a planning command to generate research tasks, then executing an autonomous research command that searches for high-quality sources, ingests content, and updates your knowledge graph.

Yes, you need a configured SurrealDB backend along with set up search providers to support the researcher agent in performing web searches, content ingestion, entity extraction, and graph updates.

Autonomous source discovery works by loading pending research tasks, searching the web for high-quality sources, ingesting the found content, extracting entities, and updating the knowledge base with relationship graphs.

Yes, autonomous web research applies directly to planning and writing workflows where gaps are identified during business requirement document planning or manuscript development and require rapid, repeatable source discovery.

The best way to track and resolve research gaps is using gap tracking and task orchestration with a researcher agent that drives end-to-end discovery by gathering credible sources and updating the knowledge graph for citations.

Automated research requires configured search providers because the researcher agent depends on them to perform web searches, evaluate sources for high-quality information, and ingest content into the knowledge base.