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gemini cli

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Basic Information

Gemini CLI is an open source command line AI agent that brings Google Gemini model capabilities directly into the terminal. It is designed for developers who work from the command line and need fast, interactive access to a large language model for code understanding, generation, debugging, and automation. The CLI supports multimodal inputs and can generate or modify projects from PDFs, images, or sketches. It also runs non-interactively in scripts to support automation and CI workflows. The tool is extensible via MCP servers to add custom integrations and tools. It provides built-in grounding with Google Search, file and shell operations, web fetching, session checkpointing, and project-specific context via GEMINI.md. Installation is available via npx, npm, or Homebrew and it runs on Node.js 20 or higher across macOS, Linux, and Windows.

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69568
App URL
https://github.com/google-gemini/gemini-cli
Github Repository
https://github.com/google-gemini/gemini-cli/blob/main/README.md

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App Details

Features
Gemini CLI includes code understanding and generation features to query and edit large codebases, create new apps, and help debug issues. Automation and integration capabilities let you run operational tasks, script non-interactive runs, and connect external services through MCP servers. Advanced capabilities include grounding with Google Search for real-time information, conversation checkpointing to save and resume sessions, and custom context files for project-specific behavior. GitHub integration supports automated pull request reviews, issue triage, on-demand assistance via mentions, and a Gemini CLI GitHub Action for workflows. The project also offers built-in tools for file system operations, shell commands, web fetch and search, multi-file operations, token caching, memory management, and a tools API to build custom extensions.
Use Cases
Gemini CLI helps developers accelerate common software tasks by providing natural language access to a powerful LLM from the terminal. It shortens iteration cycles by summarizing recent changes, generating or refactoring code, and automating repetitive repository maintenance tasks. Teams can integrate the CLI into CI and GitHub workflows for automated reviews and issue triage, and run it non-interactively for scripted automation. Extensibility via MCP servers enables connecting to custom services like databases, chat platforms, or media generators, while authentication options including OAuth, API keys, and Vertex AI support personal, paid, and enterprise use with different quotas and security features. The CLI also provides tooling for checkpointing and project context to make sessions reproducible and project-aware.

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