- Step1: Clone the Fast-LLM-Agent-MCP GitHub repository.
- Step2: Install dependencies via pip install -r requirements.txt.
- Step3: Set environment variables for your chosen LLM provider.
- Step4: Configure the agent in config.yaml (memory, reasoning, planning).
- Step5: Instantiate the agent in Python and register custom tools.
- Step6: Call agent.run(task_description) to execute planned subtasks with memory context.