TinyAGI 0.0.2

TinyAGI is a modular AI agent framework controlled via JSON configuration.

🧠 TinyAGI (Preview Version)

TinyAGI is a modular, extensible, and lightweight framework for building Artificial General Intelligence (AGI) systems. TinyAGI allows you to create and manage AI agents, plugins, modules, and tools within a flexible, scalable architecture, supporting multiple model backends like OpenAI, Llama.cpp, Ollama, AlpacaX, and Tabitha.

Disclaimer: This is a preview release (version 0.0.2). TinyAGI is currently under active development, and this version is intended for testing, feedback, and early experimentation. Expect frequent updates and potential changes to the API.

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🧩 Key Features

• Multi-Model Support: Integrate with OpenAI, Llama.cpp, Ollama, AlpacaX, and Tabitha, providing flexibility for various tasks.
• Modular Architecture: Add, update, or remove agents and plugins with ease.
• Dynamic Plugin System: Extend functionality with plugins for tasks like text summarization, content formatting, and more.
• CLI and API Interfaces: Interact with TinyAGI using the command-line interface or RESTful API.
• AgentX System: Manage multiple AI agents with unique configurations and specialized behaviors.
• Task Automation: Orchestrate agents, plugins, and tools to automate complex workflows.

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📦 Installation

Install TinyAGI with pip (Python 3.8 or higher required):

pip install TinyAGI

For the latest development version, you can clone the repository:

git clone https://github.com/SullyGreene/TinyAGI.git
cd TinyAGI
pip install -e .

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🚀 Getting Started

1. Create a Configuration File: Define your agent and model parameters in a JSON file.

   {
     "agent": {
       "name": "TinyAGI Agent",
       "version": "0.0.2"
     },
     "model": {
       "type": "llama_cpp",
       "name": "Llama-2-7B",
       "parameters": {
         "model_path": "models/llama-2-7b.ggmlv3.q4_0.bin",
         "temperature": 0.7,
         "max_tokens": 512
       }
     }
   }
   

2. Run the Agent: Create a Python script to initialize and run the agent.

   from TinyAGI.agent import Agent
   
   if __name__ == '__main__':
       agent = Agent(config_file='config/agent_config.json')
       agent.run()
   

3. Interact with Your Agent: Use the command-line interface or API to execute tasks, generate text, and more.

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🛠 Example Use Cases

• Content Generation: Generate articles, summaries, or encyclopedia entries using specialized plugins.
• Data Analysis: Automate data processing, summarization, and report generation.
• Interactive Chatbots: Create engaging chatbots that integrate knowledge retrieval and sentiment analysis.

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📝 Contributing

Contributions are welcome! Please see our contribution guidelines to get started. TinyAGI Hub is also available for community plugins, agents, and tools at TinyAGI Hub.

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🛡 License

This project is licensed under the MIT License. See the LICENSE file for details.

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Disclaimer

This release is version 0.0.2 and is a preview for testing and feedback. The framework is in active development, so expect frequent updates and possible changes to the API and functionality.

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Ready to experiment? Install TinyAGI today and help shape the future of AGI development! 🚀