Refine knowledge brain workflow

Align the brain prompts, graph view, and startup defaults with the
latest phase 1 flow so local runs and navigation stay consistent.

docs/superpowers/plans/2026-03-20-knowledge-brain-phase-1-task-plan.md

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+# Task Plan: Jarvis Knowledge Brain Phase 1 Blueprint
+
+## Goal
+Create a practical phase-1 implementation blueprint for the event-driven knowledge brain, covering backend models, services, scheduler jobs, retrieval integration, APIs, and frontend brain module structure.
+
+## Phases
+- [x] Phase 1: Plan and setup
+- [x] Phase 2: Research/gather information
+- [x] Phase 3: Draft blueprint
+- [x] Phase 4: Review and deliver
+
+## Key Questions
+1. Which new persistence models are required for an event-driven knowledge brain?
+2. How should existing conversation, document, todo, task, and forum data flow into the brain?
+3. What should phase 1 include versus defer to later phases?
+4. How should the frontend brain module be structured before full graph intelligence exists?
+
+## Decisions Made
+- Use an event-driven brain architecture instead of extending the current graph-only flow.
+- Keep the current graph as a projection/view layer, not the brain source of truth.
+- Phase 1 should prioritize unified ingestion, candidate generation, long-term memory storage, and retrieval integration.
+
+## Errors Encountered
+- None yet.
+
+## Status
+**Completed** - Separate implementation plan drafted in `knowledge_ingestion_plan.md` and supporting notes updated.