====== Gemini CLI ====== **Gemini CLI** is Google's open-source AI agent that brings the power of Gemini directly into the terminal. Built in TypeScript under the Apache 2.0 license, it leverages Google's Gemini models with a massive 1M-token context window to help developers write, debug, and understand code from the command line. With over **98,000 GitHub stars**, it is one of the most popular CLI coding agents in the ecosystem.(([[https://github.com/google-gemini/gemini-cli|GitHub Repository]]))(([[https://blog.google/technology/developers/gemini-cli/|Google Blog Announcement]]))(([[https://arxiv.org/|Google DeepMind Research]])) GitHub: [[https://github.com/google-gemini/gemini-cli|google-gemini/gemini-cli]] | Website: [[https://geminicli.com]](([[https://geminicli.com|Official Website]])) ===== Key Features ===== * **1M-Token Context Window** — Processes entire codebases in a single session, enabling deep understanding of large projects * **Plan Mode** — Analyzes codebases and creates action plans before making changes, separating analysis from execution * **MCP Integration** — Supports Model Context Protocol for both client and server roles, extending capabilities through external tools * **Multi-Tool Support** — File editing, shell command execution, web search, and code analysis built in * **GitHub Actions Integration** — Automates issue triage, PR reviews, test generation, and commit workflows * **Free Tier Access** — Generous free usage through Google AI Studio authentication * **Sandbox Execution** — Runs commands in isolated environments for safety ===== Architecture ===== Gemini CLI is structured as a monorepo with multiple packages: * **Core Engine** — TypeScript-based agent loop handling conversation, tool dispatch, and streaming * **Tool System** — Modular tool architecture with file operations, shell execution, search, and MCP bridges * **Configuration** — Supports ''GEMINI.md'' instruction files (similar to Claude's ''CLAUDE.md'') for project-level customization * **Authentication** — Google AI Studio OAuth, Vertex AI, and API key support ===== Usage Example ===== # Install globally via npm npm install -g @anthropic-ai/gemini-cli # Start interactive session in a project cd my-project gemini # Use with a direct prompt gemini "explain the authentication flow in this codebase" # Use Plan Mode for complex changes gemini "refactor the database layer to use connection pooling" --plan ===== How It Works ===== graph TD A[User Prompt] --> B[Gemini CLI Agent Loop] B --> C{Plan Mode?} C -->|Yes| D[Analysis Phase - Read Only] D --> E[Generate Action Plan] E --> F[User Approval] F --> G[Execution Phase] C -->|No| G G --> H[Tool Selection] H --> I[File Edit Tool] H --> J[Shell Execution Tool] H --> K[Search Tool] H --> L[MCP Tool Bridge] I --> M[Apply Changes] J --> M K --> M L --> M M --> N[Stream Response to Terminal] N --> B ===== Comparison ===== ^ Feature ^ Gemini CLI ^ Claude Code ^ | Context Window | 1M tokens | 200K tokens | | Language | TypeScript | TypeScript | | License | Apache 2.0 | Proprietary | | Model Lock-in | Gemini only | Claude only | | MCP Support | Yes | Yes | | Plan Mode | Yes | Yes | | GitHub Stars | ~99K | N/A | ===== See Also ===== * [[cline|Cline]] — Model-agnostic autonomous coding agent * [[roo_code|Roo Code]] — Multi-mode CLI agent forked from Cline * [[amazon_q_cli|Amazon Q CLI]] — AWS's agentic terminal * [[trae_agent|Trae Agent]] — ByteDance's research-friendly CLI agent * [[droid_factory|Droid (Factory)]] — Factory's multi-model CLI coding agent ===== References =====