Yes, Gemini CLI fully supports multi-turn conversations and is specifically designed to maintain context across extended interactions. The tool uses a reason and act (ReAct) loop architecture that enables it to engage in sophisticated, ongoing conversations where each exchange builds upon previous interactions. This conversational capability allows you to refine requests, ask follow-up questions, and iterate on solutions without losing the context of your earlier discussions. The AI maintains awareness of your project, previous questions, and the evolution of your conversation throughout the session.
The multi-turn conversation feature is particularly powerful when working on complex development tasks that require multiple steps or iterations. For example, you can start by asking Gemini CLI to analyze your codebase architecture, then follow up with specific questions about particular components, request modifications, and continue refining the implementation based on the AI’s responses. The tool remembers the entire conversation history, including files you’ve referenced, code you’ve generated, and problems you’ve discussed, ensuring that subsequent responses are informed by the complete context of your interaction.
This conversational capability extends to collaborative problem-solving where you can work with Gemini CLI to debug issues, implement features, or explore different approaches to a problem. The AI can reference earlier parts of the conversation, build upon previous suggestions, and adapt its responses based on your feedback and preferences expressed throughout the session. The multi-turn support also enables educational interactions where you can ask for explanations, request clarifications, and dive deeper into technical concepts, with each response tailored to your growing understanding and the specific context of your project. This makes Gemini CLI feel more like working with an experienced developer colleague than using a simple query-response tool.