Gemini Deep Think

Google DeepMind is an artificial-intelligence research and development organization that builds AI models and systems for general use, science, robotics, speech, image and video generation, music, and coding. Its featured systems include the Gemini family, Gemma open models, Veo video generation, Lyria music generation, Gemini Robotics, and AI systems for scientific discovery. The site also publishes research and provides access to models through products and developer platforms such as Google AI Studio, the Gemini API, and related enterprise tools.

Google's developer API for building applications with Gemini large language models. It provides access to models like Gemini 2.0 Flash and 2.5 Pro, and also supports Gemma open models. Developers use it for tasks such as custom model testing, retrieval, memory, and tool-calling systems.

Gemini is Google's AI model and assistant accessible through gemini.google.com. It processes mixed media including video, audio, images, and text, and can convert recordings into SOPs, summarize meetings, extract decisions, and draft follow-up emails. In research and development contexts, it serves as an alternative LLM backend for tasks such as adversarial audits of requirements and resume evaluation.

Gemini Managed Agents is a Google DeepMind cloud-agent service in which coding, research, and analysis agents run in managed cloud sandboxes rather than on a user's local machine. Agents are launched through a single API call using the Interactions API and are assembled from a harness, an execution environment, uploaded skills or AGENTS.md files, tools such as MCP servers and file mounts, credential proxies, and scheduled triggers. Multiple agents can share environments and pass work between one another, supporting workflows such as sending SEC-filing research to a quantitative-analysis agent and producing a report. The service is presented as accessible through AI Studio and supports choosing among Gemini models.

Gemini CLI is an open-source, Apache 2.0-licensed AI agent that provides terminal access to Google's Gemini models. It can understand and edit codebases, generate applications from PDFs, images, and sketches, debug through natural-language prompts, and run non-interactively for scripted automation. Built-in tools include Google Search grounding, file operations, shell commands, and web fetching; Model Context Protocol (MCP) support allows custom integrations and additional capabilities. The project also supports conversation checkpointing, project-specific GEMINI.md context files, and a GitHub Action for pull-request reviews, issue triage, and on-demand assistance. It can be run with npx or installed through npm, Homebrew, MacPorts, or Anaconda.