Added MCP, Hybrid Memories and Skill support

src/embedder.ts

@@ -1,13 +1,13 @@
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 const [modelDir, model] = process.argv.slice(2);
 
 let text = '';
 process.stdin.on('data', chunk => text += chunk);
 process.stdin.on('end', async () => {
-	const embedder = await pipeline('feature-extraction', 'Xenova/' + model, {quantized: true, cache_dir: modelDir});
+	const embedder = await pipeline('feature-extraction', 'Xenova/' + model, {cache_dir: modelDir});
 	const output = await embedder(text, { pooling: 'mean', normalize: true });
 	const embedding = Array.from(output.data);
-	console.log(JSON.stringify({embedding}));
+	process.stdout.write(JSON.stringify({embedding}));
 	process.exit();
 });