# 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.