- Step1: Clone the CamelAGI GitHub repository to your local environment
- Step2: Install dependencies via pip install -r requirements.txt or use the provided Docker image
- Step3: Configure your preferred LLM API keys and memory backend in the config file
- Step4: Define custom tools and skills by creating plugin modules
- Step5: Write an agent script specifying tasks, prompts, and memory parameters
- Step6: Execute the agent, monitor logs, and refine workflows as needed