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/ASR/scripts/asr.ts

@@ -0,0 +1,27 @@
+import ZAI from 'z-ai-web-dev-sdk';
+import fs from 'fs';
+import path from 'path';
+
+async function main(inputFile: string) {
+	if (!fs.existsSync(inputFile)) {
+		console.error(`Audio file not found: ${inputFile}`);
+        return;
+	}
+
+	try {
+		const zai = await ZAI.create();
+
+		const audioBuffer = fs.readFileSync(inputFile);
+		const file_base64 = audioBuffer.toString('base64');
+
+		const result = await zai.audio.asr.create({ file_base64 });
+
+		console.log('Transcription result:');
+		console.log(result.text ?? JSON.stringify(result, null, 2));
+	} catch (err: any) {
+		console.error('ASR failed:', err?.message || err);
+	}
+}
+
+main('./output.wav');
+