chore: install openagent opencode

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

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

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+<!-- Context: development/workflows | Priority: critical | Version: 1.0 | Updated: 2026-02-15 -->
+
+# Concept: Mastra Workflows
+
+**Purpose**: Linear and parallel execution chains for complex AI tasks.
+
+**Last Updated**: 2026-01-09
+
+---
+
+## Core Idea
+Workflows in Mastra are directed graphs of steps that process data sequentially or in parallel. They provide a structured way to handle multi-stage LLM operations with built-in state management and human-in-the-loop (HITL) support.
+
+## Key Points
+- **Step Definition**: Created with `createStep`, requiring `inputSchema`, `outputSchema`, and an `execute` function.
+- **Chaining**: Steps are linked using `.then()` for sequential and `.parallel()` for concurrent execution.
+- **HITL Support**: Steps can `suspend` execution to wait for human input and `resume` when data is provided.
+- **State Access**: Each step has access to the global workflow `state` and the `inputData` from the previous step.
+
+## Quick Example
+```typescript
+const workflow = createWorkflow({ id: 'my-workflow', inputSchema, outputSchema })
+  .then(step1)
+  .parallel([step2a, step2b])
+  .then(mergeStep)
+  .commit();
+
+const { runId, start } = workflow.createRun();
+const result = await start({ inputData: { ... } });
+```
+
+**Reference**: `src/mastra/workflows/`
+**Related**:
+- concepts/core.md
+- examples/workflow-example.md