feat: Add complete Agentic Compaction & Pipeline System

- Context Compaction System with token counting and summarization
- Deterministic State Machine for flow control (no LLM decisions)
- Parallel Execution Engine (up to 12 concurrent sessions)
- Event-Driven Coordination via Event Bus
- Agent Workspace Isolation (tools, memory, identity, files)
- YAML Workflow Integration (OpenClaw/Lobster compatible)
- Claude Code integration layer
- Complete demo UI with real-time visualization
- Comprehensive documentation and README

Components:
- agent-system/: Context management, token counting, subagent spawning
- pipeline-system/: State machine, parallel executor, event bus, workflows
- skills/: AI capabilities (LLM, ASR, TTS, VLM, image generation, etc.)
- src/app/: Next.js demo application

Total: ~100KB of production-ready TypeScript code

skills/TTS/tts.ts

@@ -0,0 +1,25 @@
+import ZAI from "z-ai-web-dev-sdk";
+import fs from "fs";
+
+async function main(text: string, outFile: string) {
+  try {
+    const zai = await ZAI.create();
+
+    const response = await zai.audio.tts.create({
+      input: text,
+      voice: "tongtong",
+      speed: 1.0,
+      response_format: "wav",
+      stream: false,
+    });
+
+    const arrayBuffer = await response.arrayBuffer();
+    const buffer = Buffer.from(new Uint8Array(arrayBuffer));
+    fs.writeFileSync(outFile, buffer);
+    console.log(`TTS audio saved to ${outFile}`);
+  } catch (err: any) {
+    console.error("TTS failed:", err?.message || err);
+  }
+}
+
+main("Hello, world!", "./output.wav");