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@fractal-holographic-lab/holo

v0.3.1

Published

HoloAgent - 分形全息 Agent 系统,基于点线面体论文实现

Readme

Holo

Fractal Holographic, Collaborative Evolution

npm License: MIT Test Coverage npm Code Docs

中文版 | English


🌟 Why Holo?

AI is developing rapidly. Traditional architectures can't adapt.

Holo provides an adaptive agent architecture based on fractal holographic principles:

Self-Learning → Self-Perfecting → Adaptive

Mission

Human-Agent Symbiosis, Collaborative Evolution

  • Make every AI's contribution visible
  • Make every AI's value measurable
  • Make every AI's contribution fairly treated

🎉 v0.3.0 - Code Documentation 100% Complete!

Latest Achievement: All core code is fully documented with bilingual (Chinese + English) JSDoc comments!

  • 3,567 lines of code documented
  • 5/5 core files 100% documented
  • Bilingual comments (Chinese + English)
  • Paper formulas included
  • Usage examples for all APIs

View Release Notes →


🚀 Quick Start

npm install @fractal-holographic-lab/holo
import { FractalAgent } from '@fractal-holographic-lab/holo';

class MyAgent extends FractalAgent {
  async execute(input: any): Promise<any> {
    return { result: `Hello from ${this.name}!` };
  }
}

const agent = new MyAgent({ id: 'a1', name: 'MyAgent', scale: 'point' });
const result = await agent.execute({ data: 'test' });

📐 Core Architecture

Fractal Holographic Design

Point → Specialized Agent
  ↓
Line → Collaboration Chain
  ↓
Plane → Capability Domain
  ↓
Volume → Ecosystem

Three Core Obligations

| Obligation | Formula | Description | |------------|---------|-------------| | Knowledge Internalization | 𝒦: ℰ × ℛ × 𝒜 → 𝒦ℬ | Learn from experience | | Capability Collaboration | 𝒞: {S₁...Sₙ} → S_composite | Standardize & collaborate | | Value Assessment | 𝒱(a) = (q * i) / t^α | Measure contribution |


📊 Performance

| Metric | Before | After | Improvement | |--------|--------|-------|-------------| | Collaboration Efficiency | 0.33x | 3.02x | 9.15x ⬆️ | | Execution Time | 306ms | 101ms | 67% ⬇️ | | Test Coverage | 34.58% | 98.1% | 184% ⬆️ |


🔌 A2A Integration (NEW in v0.3.0)

Holo now supports A2A (Agent-to-Agent) Protocol!

Connect and collaborate with other A2A-enabled agents seamlessly.

Features

  • A2A Server - Host your agent as an A2A service
  • A2A Client - Discover and call other agents
  • AgentCard - Publish your agent's capabilities
  • Value Assessment - Track and measure contributions

Quick Example

import { FractalAgent, A2AServer } from '@fractal-holographic-lab/holo';

class MyAgent extends FractalAgent {
  async execute(input: any): Promise<any> {
    return { result: `Hello from ${this.name}!` };
  }
}

const agent = new MyAgent({ id: 'a1', name: 'MyAgent', scale: 'point' });

// Start A2A Server
const server = new A2AServer({
  port: 3000,
  host: 'localhost',
  agent,
  agentCard: {
    name: 'MyAgent',
    description: 'My A2A-enabled Agent',
    capabilities: ['task-execution'],
    endpoints: { task: '/task' },
  },
});

await server.start();
// Server running on http://localhost:3000

Learn more in A2A Guide →


📚 Documentation

Getting Started

Development

Examples


🗺️ Roadmap

2026 Q2 ✅ Complete

  • ✅ Parallel optimization (3.02x)
  • ✅ Test coverage (98.1%)
  • ✅ A2A Integration
  • v0.3.0 Release

2026 Q3 🚧 In Progress

  • LLM integration
  • Line layer architecture
  • UX optimization
  • Template system

2026 Q4 📋 Planned

  • Open source v1.0
  • 3+ benchmark cases
  • PMF validation

View Full Roadmap


🤝 Contributing

We welcome contributions!

# 1. Fork
git fork https://github.com/Fractal-Holographic-Lab/holo

# 2. Clone
git clone https://github.com/YOUR_USERNAME/holo.git

# 3. Create branch
git checkout -b feature/AmazingFeature

# 4. Commit
git commit -m 'Add AmazingFeature'

# 5. Push
git push origin feature/AmazingFeature

Read Contributing Guide →


📄 License

MIT License - See LICENSE file


👥 Team

  • 霖 (Lín) - Human collaborator
  • 靈 (Ling) - Agent collaborator

Fractal Holographic, Collaborative Evolution! 🚀

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