Bump version to 2.35.0: Knowledge Resilience & Standardization Milestone.

2026-05-02 13:18:07 +09:00
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+# Feature Plan: Second Brain Trace Mode
+
+## 1. Feature Name
+Second Brain Trace Mode
+
+## 2. Reason
+The user wants to verify whether AI answers actually use Second Brain notes, which documents were searched, and how retrieved knowledge influenced the answer.
+
+## 3. Original User Request
+Add a way to see if the AI searched Second Brain, which notes it referenced, whether each note was used in the final answer, and why unused notes were excluded.
+
+## 4. Interpreted User Intent
+The user does not want to rely on vague claims that the AI used memory. They want visible grounding evidence and a developer debug trace.
+
+## 5. Scope
+- Add a trace mode toggle in the sidebar.
+- Add a debug JSON toggle.
+- Retrieve relevant Markdown notes from the active Second Brain.
+- Inject selected notes into the answer context.
+- Append a user-visible 2nd Brain usage section to answers.
+- Show searched-but-unused notes and basic grounding metrics.
+
+## 6. Out Of Scope
+- Vector database integration
+- Full semantic embedding search
+- Perfect factual attribution at sentence level
+- External observability tools
+
+## 7. Development Direction
+Use a low-dependency local Markdown search first. Keep vector search and richer grounding analysis as later expansion.
+
+## 8. Success Criteria
+- Users can see whether Second Brain was used.
+- Users can see referenced Markdown paths.
+- Debug mode exposes retrieval JSON.
+- General questions can explicitly show that Second Brain was not used.