ExampleAgent is an open-source framework that provides a ready-to-use AI agent skeleton integrated with OpenAI GPT models. It features modular architecture with customizable prompts, tool integrations, and execution pipelines to automate user-defined tasks. Developers can extend agents with new skills, configure context management, and deploy locally or on cloud with minimal setup.
ExampleAgent is an open-source framework that provides a ready-to-use AI agent skeleton integrated with OpenAI GPT models. It features modular architecture with customizable prompts, tool integrations, and execution pipelines to automate user-defined tasks. Developers can extend agents with new skills, configure context management, and deploy locally or on cloud with minimal setup.
ExampleAgent is a developer-focused toolkit designed to accelerate the creation of AI-driven assistants. It integrates directly with OpenAI’s GPT models to handle natural language understanding and generation, and offers a pluggable system for adding custom tools or APIs. The framework manages conversation context, memory, and error handling, enabling agents to perform information retrieval, task automation, and decision-making workflows. With clear code templates, documentation, and examples, teams can rapidly prototype domain-specific agents for chatbots, data extraction, scheduling, and more.
Who will use ExampleAgent?
AI/ML developers
Software engineers
Technical researchers
Educational instructors
How to use the ExampleAgent?
Step1: Clone the GitHub repository.
Step2: Install dependencies with pip (pip install -r requirements.txt).
Step3: Create a .env file with your OPENAI_API_KEY.
Step4: Configure prompts and tool modules as needed.
Step5: Run the main script (python main.py) to launch the agent.
Step6: Interact with the agent via the console or integrate into your app.