goose vs gemini-cli
AI agents for broader workflows or Gemini in the terminal
goose and gemini-cli are AI agents that can act on tasks rather than only suggest text. goose supports multiple model providers and desktop, CLI, and API access, while gemini-cli focuses on Gemini models through a terminal interface.
goose: Run an Extensible AI Agent on Your Machine
goose is a Rust-based AI agent available as a desktop app, CLI, and API. It connects to multiple LLM providers and MCP extensions, making it useful for code work as well as research, writing, automation, and data analysis.
gemini-cli: Use Gemini as an Agent in Your Terminal
Gemini CLI brings Gemini models into a terminal-based agent for working with code, files, shell commands, and web information. It suits developers who want interactive assistance or scriptable workflows, with support for custom tools through MCP.
| goose | gemini-cli | |
|---|---|---|
| Language | Rust | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 54.9k | 107k |
| Forks | 6.4k | 14.7k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- goose is written in Rust, while gemini-cli is written in TypeScript.
- goose offers a desktop app, CLI, and API; gemini-cli is terminal-based and supports interactive and scriptable use.
- goose connects to more than 15 model providers, including local and hosted options; gemini-cli uses Gemini models, with access tied to authentication methods and service terms.
- goose connects to more than 70 MCP extensions; gemini-cli supports MCP servers alongside built-in file, shell, and web tools.
- goose describes use across coding, research, writing, automation, and data analysis; gemini-cli is aimed at developer tasks such as code work and command-line automation.
- Both use the Apache-2.0 license. The supplied project data lists 54.9k stars for goose and 107k for gemini-cli.
Choose goose if you…
- need a desktop app, CLI, or API for an agent workflow.
- want to choose among multiple model providers, including local options.
- plan to apply an agent to work beyond coding, such as research, writing, or data analysis.
Choose gemini-cli if you…
- want a terminal-based agent specifically using Gemini models.
- need built-in file and shell tools, web search, and web-content fetching for developer tasks.
- want non-interactive runs with structured output or session checkpointing.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.