Agentic-Compaction-and-Pipleline-by-GLM-5/README.md

Agentic Compaction & Pipeline System

A comprehensive open-source implementation of context compaction mechanisms
and deterministic multi-agent pipeline orchestration

Designed for seamless integration with Claude Code, OpenClaw, and custom AI systems

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Features • Installation • Quick Start • Integrations • Delegation System • API Reference

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🤖 About This Project

⚡ This project was 100% autonomously built by AI ⚡

Z.AI GLM-5 created this entire codebase in a single session — designing the architecture, implementing all modules, writing comprehensive documentation, packaging the releases, and even pushing everything to this Git repository.

Learn more about Z.AI GLM-5 →

Yes, the README you're reading right now was written by the AI too! 🎉

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Overview

This project provides three complementary systems:

1. Agent System - Context compaction, token management, and agent orchestration
2. Pipeline System - Deterministic state machine, parallel execution, and event-driven coordination
3. Delegation System - Intelligent request routing, agent pool management, and busy-state handling

Built based on the architectural principles described in How I Built a Deterministic Multi-Agent Dev Pipeline Inside OpenClaw.

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✨ Features

Agent System

• ✅ Token Counting & Management - Accurate token estimation with budget tracking
• ✅ Context Compaction - 4 strategies: sliding-window, summarize-old, priority-retention, hybrid
• ✅ Conversation Summarization - LLM-powered summarization with key points extraction
• ✅ Agent Orchestration - Lifecycle management, task routing, event handling
• ✅ Subagent Spawning - 6 predefined subagent types for task delegation
• ✅ Persistent Storage - File-based memory store for agent state
• ✅ Claude Code Integration - Full support for Claude Code CLI/IDE
• ✅ OpenClaw Integration - Native integration with OpenClaw workflows

Pipeline System

• ✅ Deterministic State Machine - Flow control without LLM decisions
• ✅ Parallel Execution Engine - Worker pools with concurrent agent sessions
• ✅ Event-Driven Coordination - Pub/sub event bus with automatic trigger chains
• ✅ Workspace Isolation - Per-agent tools, memory, identity, permissions
• ✅ YAML Workflow Parser - Lobster-compatible workflow definitions

🆕 Delegation System (NEW!)

• ✅ Request Classification - Fast analysis (<50ms) for optimal routing
• ✅ Agent Pool Management - Auto-scaling pool with 8 agent types
• ✅ Delegation Engine - 4 strategies: full, parallel, hierarchical, hybrid
• ✅ Progress Streaming - Real-time updates with SSE/WebSocket support
• ✅ Context Handoff Protocol - Seamless inter-agent context transfer
• ✅ Quality Gate - Confidence thresholds and auto-escalation
• ✅ 3rd Party Adapters - Native support for OpenClaw, Claude Code CLI, Cursor, Aider

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Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                      AGENTIC PIPELINE SYSTEM                            │
├─────────────────────────────────────────────────────────────────────────┤
│                                                                         │
│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐         │
│  │  AGENT SYSTEM   │  │ PIPELINE SYSTEM │  │DELEGATION SYSTEM│         │
│  ├─────────────────┤  ├─────────────────┤  ├─────────────────┤         │
│  │ • Token Counter │  │ • State Machine │  │ • Classifier    │         │
│  │ • Context Mgr   │  │ • Parallel Exec │  │ • Pool Manager  │         │
│  │ • Summarizer    │  │ • Event Bus     │  │ • Deleg. Engine │         │
│  │ • Orchestrator  │  │ • Workspace     │  │ • Progress Str. │         │
│  │ • Subagent Sp.  │  │ • YAML Workflow │  │ • Quality Gate  │         │
│  │ • Memory Store  │  │ • Integration   │  │ • Handoff Proto │         │
│  │ ───────────────  │  └─────────────────┘  └─────────────────┘         │
│  │ INTEGRATIONS:    │                                                │
│  │ • Claude Code ✅ │                                                │
│  │ • OpenClaw ✅    │                                                │
│  └─────────────────┘                                                │
│                                                                         │
│  ┌─────────────────────────────────────────────────────────────────┐   │
│  │                      INTEGRATION LAYER                           │   │
│  │  Claude Code │ OpenClaw │ Cursor │ Aider │ Copilot │ Custom     │   │
│  └─────────────────────────────────────────────────────────────────┘   │
│                                                                         │
└─────────────────────────────────────────────────────────────────────────┘

Delegation Flow (Busy-State Handling)

User Request → Request Classifier (<50ms)
                    │
                    ▼
            ┌───────────────┐
            │ Classification │
            │ • Complexity   │
            │ • Agent Type   │
            │ • Priority     │
            └───────────────┘
                    │
                    ▼
            ┌───────────────┐
            │ Pool Manager  │
            │ • Find Agent  │
            │ • Scale Pool  │
            └───────────────┘
                    │
        ┌───────────┴───────────┐
        ▼                       ▼
┌───────────────┐       ┌───────────────┐
│   Delegate    │       │  Queue/Wait   │
│   to Agent    │       │  (if busy)    │
└───────────────┘       └───────────────┘
        │                       │
        ▼                       ▼
┌───────────────┐       ┌───────────────┐
│  Progress     │       │  Escalate     │
│  Streaming    │       │  to Main      │
└───────────────┘       └───────────────┘
        │                       │
        └───────────┬───────────┘
                    ▼
            ┌───────────────┐
            │ Quality Gate  │
            │ • Validate    │
            │ • Confidence  │
            └───────────────┘
                    │
                    ▼
              Response

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Installation

Prerequisites

• Node.js 18+ or Bun
• TypeScript 5+

From Source

# Clone the repository
git clone https://github.rommark.dev/admin/Agentic-Compaction-and-Pipleline-by-GLM-5.git
cd Agentic-Compaction-and-Pipleline-by-GLM-5

# Install dependencies
bun install

# Run tests
bun run delegation-system/test.ts

Using Zip Packages

Download the appropriate package from the downloads/ directory:

Package	Description	Use Case
agent-system.zip	Context compaction & orchestration	Building custom AI agents
pipeline-system.zip	Deterministic pipelines	Multi-agent workflows
delegation-system.zip	Busy-state handling	High-traffic AI services
complete-agent-pipeline-system.zip	Full system	Complete integration

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Quick Start

Delegation System (Busy-State Handling)

import { DelegationSystem } from './delegation-system';

// Initialize the system
const system = new DelegationSystem();
await system.initialize();

// Process a request (auto-delegates when busy)
const response = await system.process({
  id: 'req-1',
  content: 'Review this code for security issues',
  type: 'review',
  streamProgress: true
});

console.log(response.result);
console.log(`Processed by: ${response.agentsUsed.join(', ')}`);
console.log(`Confidence: ${response.confidence}`);

// Subscribe to progress updates
system.onProgress('req-1', (event) => {
  console.log(`[${event.type}] ${event.message}`);
});

Agent System

import { ContextManager, TokenCounter, Summarizer } from './agent-system';

// Initialize components
const tokenCounter = new TokenCounter(128000);
const summarizer = new Summarizer();
const contextManager = new ContextManager(tokenCounter, summarizer, {
  maxTokens: 100000,
  compactionStrategy: 'hybrid',
  reserveTokens: 20000
});

// Add messages with auto-compaction
contextManager.addMessage({ role: 'user', content: 'Hello!' });

if (contextManager.needsCompaction()) {
  const result = await contextManager.compact();
  console.log(`Saved ${result.tokensSaved} tokens`);
}

Pipeline System

import { DeterministicStateMachine, ParallelExecutionEngine } from './pipeline-system';

const executor = new ParallelExecutionEngine({ maxConcurrency: 12 });
const results = await executor.executeAll([
  { id: 1, type: 'analyze', data: { target: 'module-a' } },
  { id: 2, type: 'analyze', data: { target: 'module-b' } }
]);

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Integrations

3rd Party AI Coding Tools Integration

The delegation system provides native integration for popular AI coding tools:

OpenClaw Integration

import { DelegationSystem } from './delegation-system';

const system = new DelegationSystem();
await system.initialize();

// Get OpenClaw adapter
const openclaw = system.getAdapter('openclaw');

// Configure for OpenClaw pattern (4 projects × 3 roles)
await openclaw.initialize({
  pool: { maxParallelAgents: 12 },
  delegation: { autoDelegate: true }
});

// Process with OpenClaw-compatible workflow
const response = await system.process({
  content: 'Analyze security across all modules',
  metadata: { integration: 'openclaw' }
});

Claude Code CLI Integration

import { DelegationSystem } from './delegation-system';

const system = new DelegationSystem();
await system.initialize();

const claudeCode = system.getAdapter('claude-code');

// Get Claude Code compatible tools
const tools = claudeCode.getTools();
// [
//   { name: 'delegate_task', ... },
//   { name: 'check_pool_status', ... }
// ]

// Process with context compaction
const response = await system.process({
  content: 'Implement user authentication',
  metadata: { integration: 'claude-code' }
});

Custom Integration

import { DelegationSystem } from './delegation-system';

const system = new DelegationSystem();

// Register custom adapter
await system.registerIntegration('my-tool', {
  delegation: { enabled: true },
  pool: { maxSize: 20 }
});

// Use the custom integration
const response = await system.process({
  content: 'Process this request',
  metadata: { integration: 'my-tool' }
});

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Delegation System

Agent Types

Type	Purpose	Timeout	Concurrency
fast-responder	Quick answers, status checks	5s	10
explorer	Code navigation, file search	30s	4
researcher	Deep analysis, documentation	60s	3
coder	Code generation, implementation	45s	4
reviewer	Code review, quality checks	30s	3
planner	Architecture, planning	60s	2
executor	Command execution, file ops	30s	3
analyzer	Debugging, profiling	45s	3

Delegation Strategies

Strategy	Description	When Used
full	Complete delegation to single agent	Quick tasks, simple requests
parallel	Multiple agents work together	Multi-file, high complexity
hierarchical	Main agent + subagent collaboration	Complex, needs oversight
hybrid	Combination based on context	Streaming, progressive results

Request Classification

Requests are classified into 4 complexity levels:

Level	Response Time	Example
quick	< 2s	"What is TypeScript?"
moderate	2-15s	"Review this function for bugs"
streaming	5-60s	"Analyze the entire codebase"
complex	15-120s	"Implement a new authentication system"

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API Reference

Delegation System API

class DelegationSystem {
  // Initialization
  initialize(): Promise<void>;
  registerIntegration(type: IntegrationType, config?): Promise<Adapter>;
  
  // Main operations
  process(request: DelegationRequest): Promise<DelegationResponse>;
  quickClassify(content: string): { complexity: string; agent: AgentType };
  
  // Progress streaming
  onProgress(requestId: string, callback: (event: ProgressEvent) => void): () => void;
  onAllProgress(callback: (event: ProgressEvent) => void): () => void;
  
  // Status
  getStatus(): SystemStatus;
  getPoolStats(): PoolStats;
  isReady(): boolean;
  
  // Lifecycle
  shutdown(): Promise<void>;
  reset(): Promise<void>;
}

Integration Adapters API

interface IntegrationAdapter {
  type: IntegrationType;
  name: string;
  version: string;
  
  initialize(config: any): Promise<void>;
  shutdown(): Promise<void>;
  classifyRequest(request: any): Promise<RequestClassification>;
  delegateRequest(request: any, decision: DelegationDecision): Promise<DelegationResult>;
  streamProgress(requestId: string, callback: (event: ProgressEvent) => void): void;
  getStatus(): IntegrationStatus;
  getCapabilities(): string[];
}

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Examples

Example 1: Busy-State Handling

import { DelegationSystem } from './delegation-system';

const system = new DelegationSystem();
await system.initialize();

// Simulate high load
for (let i = 0; i < 20; i++) {
  system.process({
    content: `Task ${i}`,
    type: 'code'
  });
}

// This request will be delegated to available agent or queued
const response = await system.process({
  content: 'Urgent: Fix security vulnerability',
  type: 'debug',
  priority: 'critical'
});

// Check pool status
const stats = system.getPoolStats();
console.log(`Pool: ${stats.busyCount} busy, ${stats.idleCount} idle`);

Example 2: Progress Streaming

const system = new DelegationSystem();
await system.initialize();

const requestId = 'analysis-1';

// Subscribe to progress
const unsubscribe = system.onProgress(requestId, (event) => {
  switch (event.type) {
    case 'acknowledgment':
      console.log('🤖 Got it!');
      break;
    case 'delegation':
      console.log(`📋 Delegated to ${event.data?.agentType}`);
      break;
    case 'progress':
      console.log(`⏳ ${event.progress}% - ${event.message}`);
      break;
    case 'completion':
      console.log('✅ Done!');
      break;
  }
});

// Process with streaming
await system.process({
  id: requestId,
  content: 'Analyze entire codebase for security issues',
  type: 'analysis',
  streamProgress: true
});

unsubscribe();

Example 3: Multi-Agent Parallel Execution

const system = new DelegationSystem();
await system.initialize();

// OpenClaw pattern: 4 projects × 3 roles
const projects = ['frontend', 'backend', 'mobile', 'docs'];
const roles = ['security', 'performance', 'quality'];

const results = await Promise.all(
  projects.flatMap(project =>
    roles.map(role =>
      system.process({
        content: `Analyze ${project} for ${role} issues`,
        type: 'analysis',
        metadata: { project, role }
      })
    )
  )
);

console.log(`Completed ${results.length} parallel analyses`);

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Project Structure

├── agent-system/                 # Context compaction system
│   ├── core/                     # Core components
│   ├── agents/                   # Agent implementations
│   ├── integrations/             # Claude Code & OpenClaw integrations
│   ├── storage/                  # Persistent storage
│   └── utils/                    # Utilities
│
├── pipeline-system/              # Deterministic pipeline system
│   ├── core/                     # State machine
│   ├── engine/                   # Parallel execution
│   ├── events/                   # Event bus
│   ├── workspace/                # Workspace isolation
│   └── workflows/                # YAML parser
│
├── delegation-system/            # 🆕 Delegation system
│   ├── core/                     # Types, classifier, engine, handoff
│   ├── pool/                     # Agent pool management
│   ├── streaming/                # Progress streaming
│   ├── quality/                  # Quality gates
│   ├── integrations/             # 3rd party adapters
│   ├── test.ts                   # Test suite
│   └── index.ts                  # Main exports
│
├── examples/                     # Usage examples
├── downloads/                    # Zip packages
├── package.json
├── tsconfig.json
├── LICENSE
├── CHANGELOG.md
└── README.md

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Contributing

Contributions are welcome! Please read our contributing guidelines before submitting PRs.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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License

MIT License - see LICENSE for details.

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Acknowledgments

• Inspired by OpenClaw and Lobster
• Architectural patterns from How I Built a Deterministic Multi-Agent Dev Pipeline
• Claude Code integration patterns from Anthropic's documentation

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Support

For issues and feature requests, please use the GitHub Issues page.

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Built with ❤️ by Z.AI GLM-5

100% Autonomous AI Development