Aiden is an autonomous AI agent that can analyze different types of user input like a text description or a GitHub repository link. Aiden analyzes the repository, recommends, and generates the appropriate autonomous AI agents for different tasks. Aiden and the different agents can communicate with each other through a shared database, a message queue, or a direct communication channel, allowing the agents to collaborate and finish the project.
- Natural Language Processing (NLP)
- Natural Language Understanding (NLU)
- Machine Learning (ML)
- Deep Learning (DL)
- Decision Management (DML)
- Analyze the user's input to understand the project's needs.
- Recommend the appropriate agents for the different tasks.
- Generate the appropriate agents for the different tasks.
- Deploy the agents to the appropriate environment.
- Communicate with the agents through a shared database, a message queue, or a direct communication channel.
- Software Developer Agent: Develops software applications.
- Sound Engineer Agent: Creates and edits sound files.
- Game Developer Agent: Develops video games.
- Graphic Design Agent: Creates and edits graphics.
- Content Writer Agent: Writes content, such as articles, blog posts, and social media posts.
- Video Editor Agent: Edits video files.
- 3D Modeler Agent: Creates and edits 3D models.
- Marketing Agent: Develops and executes marketing campaigns.
- Customer Support Agent: Provides customer support.
- Import the main Aiden module:
import aiden - Create an instance of Aiden:
aiden_instance = aiden.Aiden() - Analyze user input:
aiden_instance.analyze_input(user_input) - Recommend agents:
recommended_agents = aiden_instance.recommend_agents() - Generate agents:
generated_agents = aiden_instance.generate_agents(recommended_agents) - Deploy agents:
aiden_instance.deploy_agents(generated_agents) - Communicate with agents:
aiden_instance.communicate_agents()
Please refer to the individual files for more detailed information on each agent and technology.