ai-builder

Plan, build, populate, and test Everworker Memories (vector RAG stores) and Collections (typed data tables, optional vector RAG). Use when the user wants to set up the data layer that workflows will read from — RAG ingestion, knowledge bases, structured tables.

Develop an Everworker AI Workflow — create a new one or modify an existing one — without running the full Plan cycle. Use when the user already knows what they want, or has approved a previous plan.

Plan an Everworker AI Workflow as a solution architect would — translate the business outcome into the simplest, most elegant combination of platform features. Returns a markdown plan with a one-line arrow diagram and node breakdown for review.

Plan, create, modify, and delete Everworker Schedules — recurring cron-driven executions of existing Universal Workers / Workflows. Use when the user wants something to run on a timetable.

Test an existing Everworker AI Workflow. Executes it, polls for results, and reports per-node pass/fail. Use when the user wants to run a workflow.

2 hooks across 2 events