aia - AI Agent Implementation

A Python implementation of an AI Agent class that provides functionality for processing inputs, creating specialized child agents, solving problems, and sharing knowledge between agents.

Features

• Input Processing: Tokenizes user input, generates responses, and logs learning
• Agent Replication: Creates specialized child agents for specific problem domains
• Problem Solving: Delegates problems to appropriate child agents or solves using accumulated knowledge
• Knowledge Sharing: Shares learned information between different agents
• Comprehensive Logging: Tracks all agent activities and learning

Usage

from ai_agent import AIAgent

# Create a main agent
agent = AIAgent("MainAgent")

# Process user input
response = agent.process_input("Hello, how can you help me?")
print(response)

# Create specialized child agents
ml_specialist = agent.replicate("Machine Learning Expert")
math_specialist = agent.replicate("Mathematics Expert")

# Solve problems (delegates to child agents)
solution = agent.solve_problem("Train a neural network")
print(solution)

# Share knowledge with other agents
other_agent = AIAgent("OtherAgent")
agent.share_knowledge(other_agent)

Files

• ai_agent.py - Main AIAgent class implementation
• test_ai_agent.py - Comprehensive test suite
• example_usage.py - Demonstration script showing all features

Running Tests

python test_ai_agent.py

Running Example

python example_usage.py