Align the brain prompts, graph view, and startup defaults with the latest phase 1 flow so local runs and navigation stay consistent.
1.2 KiB
1.2 KiB
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
- Phase 1: Plan and setup
- Phase 2: Research/gather information
- Phase 3: Draft blueprint
- Phase 4: Review and deliver
Key Questions
- Which new persistence models are required for an event-driven knowledge brain?
- How should existing conversation, document, todo, task, and forum data flow into the brain?
- What should phase 1 include versus defer to later phases?
- 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.