chore: install openagent opencode

Signed-off-by: Dmytro Stanchiev <git@dmytros.dev>

.opencode/context/development/ai/mastra-ai/concepts/storage.md

@@ -0,0 +1,38 @@
+<!-- Context: development/storage | Priority: critical | Version: 1.0 | Updated: 2026-02-15 -->
+
+# Concept: Mastra Data Storage
+
+**Purpose**: Persistence layer for cases, documents, assessments, and observability.
+
+**Last Updated**: 2026-01-09
+
+---
+
+## Core Idea
+Mastra uses a dual-storage approach: a local SQLite database (via Drizzle ORM) for business entities and a built-in `LibSQLStore` for Mastra-specific execution data (traces, spans).
+
+## Key Points
+- **Business Entities**: Managed in `src/db/schema.ts`. Includes `cases`, `documents`, `assessments`, and `outputs`.
+- **Mastra Store**: `LibSQLStore` handles `mastra_traces`, `mastra_ai_spans`, and `mastra_scorers`.
+- **V3 Extensions**: Specific tables for `timeline_events`, `evidence_gaps`, `sub_claims`, and `vulnerability_flags`.
+- **Observability**: `prompt_execution_traces` provides detailed cost and token tracking per AI call.
+- **File Storage**: Large blobs (PDFs, JSON outputs) are stored in `./tmp/` with paths referenced in the DB.
+
+## Quick Example
+```typescript
+// Business Schema (Drizzle)
+export const cases = sqliteTable('cases', {
+  id: text('id').primaryKey(),
+  status: text('status').default('new'),
+});
+
+// Mastra Store Config
+storage: new LibSQLStore({
+  url: process.env.MASTRA_DB_PATH || 'file:./mastra.db',
+}),
+```
+
+**Reference**: `src/db/schema.ts`, `src/mastra/index.ts`
+**Related**:
+- concepts/core.md
+- lookup/mastra-config.md