- Step1: Clone the repository from GitHub.
- Step2: Install dependencies using pip.
- Step3: Set environment variables for API keys (OPENAI_API_KEY, etc.).
- Step4: Configure your preferred LLM and vector store in config.yml.
- Step5: Run the example agent with python run_agent.py.
- Step6: Customize templates, chains, and memory modules as needed.
- Step7: Deploy your agent to production or integrate into applications.