Ship Assistent 0.12.1: training tab, dataset pipeline, and heard RAG.

Restructure UI with app-level tabs and chat history drawer; add dataset curation,
HF import, Modelfile/QLoRA hooks, and link approved samples to the agent immediately
via heard vector memory without waiting for fine-tuning.

Co-authored-by: Cursor <cursoragent@cursor.com>

AssistentConfig.cs

@@ -1380,6 +1380,40 @@ public sealed class AssistentConfig
         }
     }
 
+    public JObject LoadTrainingRunner()
+        => TryReadJson(Path.Combine(_overlayRoot, "training-runner.json")) ?? new JObject();
+
+    public void SaveTrainingRunner(JObject settings)
+    {
+        lock (_lock)
+        {
+            Directory.CreateDirectory(_overlayRoot);
+            string path = Path.Combine(_overlayRoot, "training-runner.json");
+            JObject merged = DeepMerge(LoadTrainingRunner(), settings ?? new JObject());
+            File.WriteAllText(path, merged.ToString(Newtonsoft.Json.Formatting.Indented), Encoding.UTF8);
+        }
+    }
+
+    public JObject LoadTrainingAgent()
+        => TryReadJson(Path.Combine(_overlayRoot, "training-agent.json"))
+           ?? new JObject
+           {
+               ["enabled"] = true,
+               ["auto_link_on_approve"] = true,
+               ["heard_quota"] = 3,
+           };
+
+    public void SaveTrainingAgent(JObject settings)
+    {
+        lock (_lock)
+        {
+            Directory.CreateDirectory(_overlayRoot);
+            string path = Path.Combine(_overlayRoot, "training-agent.json");
+            JObject merged = DeepMerge(LoadTrainingAgent(), settings ?? new JObject());
+            File.WriteAllText(path, merged.ToString(Newtonsoft.Json.Formatting.Indented), Encoding.UTF8);
+        }
+    }
+
     public JObject LoadOllamaRoles()
     {
         return TryReadJson(Path.Combine(_overlayRoot, "ollama-roles.json"))