🚀 PersistenceAI Pro

AI That Builds.

PersistenceAI Pro is a next-generation autonomous multi-agent AI operating system designed for development, automation, reasoning, and intelligent execution.

Built using Swift, Python, JavaScript, and modern AI infrastructure, PersistenceAI Pro combines powerful language models, memory systems, agent orchestration, and real-world tool execution into one unified platform.

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✨ Features

• 🧠 Multi-Agent AI Architecture
• 💻 Autonomous Coding Agents
• 📁 Long-Term Vector Memory
• 🌐 Web + Native Desktop Interface
• ⚡ Local & Cloud AI Models
• 🔧 Tool Calling + Automation
• 📦 GitHub Integration
• 🖥️ SwiftUI Desktop Application
• 🌍 Browser-Based AI Workspace
• 🔁 Reflection & Self-Correction
• 🔒 Sandboxed Code Execution
• 🧩 Modular Plugin System

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🧠 Core Architecture

                USER
                  ↓
        Persistence Orchestrator
      ↙         ↓          ↘
 Planner     Coding      Research
  Agent       Agent        Agent
      ↘         ↓         ↙
         Memory System
               ↓
      Tool Execution Layer
   ↙       ↓        ↓       ↘
GitHub   Browser   APIs   Sandbox
               ↓
      Reflection Engine
               ↓
          Final Output

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🛠️ Technology Stack

Layer	Technology
AI Core	Python
Native App	Swift / SwiftUI
Web Dashboard	HTML / CSS / JS
Browser Runtime	Puter.js
AI Frameworks	LangChain / CrewAI
Memory	ChromaDB
Models	Qwen / Llama / DeepSeek
Backend API	FastAPI
Execution	Docker
Android	Kotlin
Legacy Apple Support	Objective-C

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📦 Repository Structure

PersistenceAI-Pro/
├── apps/
│   ├── ios/
│   ├── macos/
│   ├── web/
│   └── android/
│
├── ai-core/
├── agents/
├── memory/
├── orchestration/
├── sandbox/
├── workflows/
├── github/
├── models/
├── api/
├── docs/
├── docker/
└── scripts/

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🤖 AI Agents

PersistenceAI Pro uses specialized autonomous agents.

Agent	Purpose
Architect Agent	system planning
Code Agent	software development
UI Agent	frontend generation
Debug Agent	bug fixing
Research Agent	internet research
Security Agent	vulnerability scanning
Memory Agent	context retrieval
Automation Agent	workflow execution

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🔥 Capabilities

Autonomous Coding

• Generate projects
• Fix bugs
• Refactor code
• Explain architecture
• Write documentation

AI Workspace

• Visual workflow editor
• Multi-agent collaboration
• File explorer
• Integrated terminal

Persistent Memory

• Long-term context
• Semantic search
• Embedding storage
• Project awareness

Tool Execution

• Run shell commands
• Execute Python
• Browser automation
• GitHub operations

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⚡ Getting Started

1. Clone Repository

git clone https://github.com/YOUR_USERNAME/PersistenceAI-Pro.git
cd PersistenceAI-Pro

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2. Install Python Dependencies

pip install -r requirements.txt

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3. Install Node Dependencies

npm install

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4. Install Ollama

Download:

https://ollama.com

Run local AI model:

ollama run qwen2.5-coder

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5. Start Backend

python main.py

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6. Launch Frontend

npm run dev

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🧠 Recommended Models

Model	Purpose
Qwen2.5-Coder	coding
Llama 3	general intelligence
DeepSeek-Coder	autonomous programming
Gemma	lightweight local AI

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🔒 Security

PersistenceAI Pro uses:

• sandboxed execution
• isolated containers
• permission-based tools
• agent restrictions
• memory isolation

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🌐 Vision

PersistenceAI Pro aims to become:

A fully autonomous AI operating system capable of reasoning, planning, development, automation, and intelligent collaboration.

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📌 Roadmap

Phase 1

• Core architecture
• SwiftUI desktop app
• AI chat system
• Local model support

Phase 2

• Multi-agent orchestration
• Memory engine
• GitHub integration
• AI code generation

Phase 3

• Autonomous workflows
• Reflection system
• Browser automation
• AI workspace

Phase 4

• Distributed agents
• Cloud execution
• Plugin ecosystem
• Team collaboration

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🤝 Contributing

Contributions are welcome.

1. Fork repository
2. Create feature branch
3. Commit changes
4. Push branch
5. Open Pull Request

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📄 License

MIT License

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🚀 PersistenceAI Pro

AI That Builds.