chore: import upstream snapshot with attribution

plugin/opencode/commands/recall.md

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+Search past session observations and lessons for relevant context. Wrap the `memory_smart_search` and `memory_lesson_recall` MCP tools.
+
+## Usage
+
+```
+/recall [query]
+```
+
+## Instructions
+
+1. Call `memory_smart_search` with the query and `limit: 10` (hybrid BM25 + vector + graph search).
+2. Call `memory_lesson_recall` with the same query and `limit: 5` (lesson search).
+3. Combine results and present to the user:
+   - Group by session
+   - Show type, title, and narrative for each observation
+   - Highlight high-importance (>= 7) observations
+   - Show lessons separately with confidence scores
+4. If no results, suggest 2-3 alternative search terms.
+5. **Never hallucinate results.** Only present what the MCP tools actually return.

plugin/opencode/commands/remember.md

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+Explicitly save an insight, decision, or learning to agentmemory for future sessions. Wraps the `memory_save` MCP tool.
+
+## Usage
+
+```
+/remember [what to remember]
+```
+
+## Instructions
+
+1. Analyze what needs to be remembered — extract the core insight, decision, or fact.
+2. Extract 2-5 searchable concepts (lowercased keyword phrases). Prefer specific terms ("jwt-refresh-rotation" over "auth").
+3. Extract relevant file paths the memory references.
+4. Call `memory_save` with:
+   - `content` — full text to remember (preserve user's phrasing)
+   - `concepts` — extracted concept list
+   - `files` — extracted file list (empty array if none)
+   - `type` — choose from: pattern, preference, architecture, bug, workflow, fact
+5. Confirm the save and show the concepts tagged so the user knows retrieval terms.