DESKTOP-72TV0V4\caoxiaozhu
90ea732584
Capture the current local data snapshot and planning artifacts alongside this development batch so the workspace state matches the code changes. This preserves the reference materials and generated files that were kept in the working tree. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
28 lines
1.2 KiB
Markdown
28 lines
1.2 KiB
Markdown
# Task Plan: Jarvis Knowledge Brain Phase 1 Blueprint
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## Goal
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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.
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## Phases
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- [x] Phase 1: Plan and setup
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- [x] Phase 2: Research/gather information
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- [x] Phase 3: Draft blueprint
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- [x] Phase 4: Review and deliver
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## Key Questions
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1. Which new persistence models are required for an event-driven knowledge brain?
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2. How should existing conversation, document, todo, task, and forum data flow into the brain?
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3. What should phase 1 include versus defer to later phases?
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4. How should the frontend brain module be structured before full graph intelligence exists?
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## Decisions Made
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- Use an event-driven brain architecture instead of extending the current graph-only flow.
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- Keep the current graph as a projection/view layer, not the brain source of truth.
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- Phase 1 should prioritize unified ingestion, candidate generation, long-term memory storage, and retrieval integration.
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## Errors Encountered
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- None yet.
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## Status
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**Completed** - Separate implementation plan drafted in `knowledge_ingestion_plan.md` and supporting notes updated.
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