AI Agent Index
ByHeather MacAvelia·Last verified Jun 20, 2026
Gemini CLI logo

Gemini CLI

4.4/ 5

by Google DeepMind

MCPIndependently Reviewed
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Open-source AI coding agent by Google, now transitioning to Antigravity CLI. Free hosted tier ended June 18, 2026. Enterprise retains access. Apache 2.0 repo with 105k GitHub stars.

Gemini CLI is the open-source AI coding agent from Google that brings Gemini directly into the terminal, designed for developers who prefer command-line workflows or want to integrate Gemini into custom development pipelines and automated scripts. Released under Apache 2.0 and maintained by Google, Gemini CLI reached 105,000 GitHub stars and 14,000 forks, making it one of the most-starred AI coding agent projects on GitHub. However, on June 18, 2026, Google shut down the hosted inference path for free, Google AI Pro, and Google AI Ultra users, requiring individual developers to migrate to Antigravity CLI, a closed-source Go-based replacement. The open-source Gemini CLI repository remains available on GitHub and continues to function for users with Gemini Code Assist Standard or Enterprise licenses, or those using paid Gemini and Gemini Enterprise Agent Platform API keys. Enterprise customers are explicitly carved out from the shutdown and retain uninterrupted access to Gemini CLI with the latest Gemini models. For all other users, the gemini command returns HTTP 410 Gone after June 18, 2026. The product runs on Gemini 3 models with a 1 million token context window, materially larger than Claude Code (200K tokens) or GitHub Copilot, which allows Gemini CLI to load entire large codebases into context without manual file selection. Built-in capabilities include Google Search grounding for real-time information retrieval, file system operations, shell command execution, web fetching, conversation checkpointing to save and resume complex sessions, session export and import for portability, and custom context files (GEMINI.md) that provide persistent project-specific instructions across sessions. The GitHub Actions integration enables automated pull request reviews, issue triage with automated labeling, and on-demand assistance by mentioning @gemini-cli in issues and pull requests. MCP server support extends Gemini CLI with custom tool integrations, with examples including GitHub, Slack, database connections, and media generation via Google's Imagen, Veo, and Lyria models. The platform supports both local and remote MCP servers. A VS Code companion extension provides IDE integration alongside the terminal experience. Native support for Sublime Text and Emacs was added in v0.44.0. Gemini CLI is not the right fit for individual developers who need a free terminal AI agent going forward. The free 1,000 requests/day tier that made Gemini CLI attractive for individual use ended on June 18, 2026. Individual developers should evaluate Antigravity CLI (Google's replacement), Claude Code at $20/month, Aider (free BYOK), or OpenCode (free BYOK) instead. Teams that need a multi-model BYOK tool supporting Claude, GPT, or open-source models alongside Gemini should evaluate Aider, Cline, or OpenCode, all of which support multiple LLM providers. No compliance certifications apply to the open-source tool itself: enterprise compliance is inherited from Google Cloud Vertex AI for teams deploying through that authentication path. Current state Q2 2026: Google shut down Gemini CLI's hosted inference for free, Google AI Pro, and Google AI Ultra users on June 18, 2026. The replacement is Antigravity CLI, a closed-source Go-based tool invoked as the agy command, which consolidates Gemini models, Vertex AI agents, and the Antigravity multi-agent runtime under one binary. The open-source Gemini CLI repository (105,000 stars) remains on GitHub under Apache 2.0 but the community has raised concerns that volunteer contributions to the open-source codebase now flow into a proprietary product. Enterprise customers with Gemini Code Assist Standard or Enterprise licenses retain full uninterrupted access. Antigravity CLI uses a weekly compute-based quota cap rather than the previous 1,000 daily requests, which heavy users report exhausting faster than the previous daily model.

Pricing

free

View pricing ↗

Segment

b2c

Setup

easy

Verified

Jun 20, 2026

Transparency

Public

Contract

Month-to-month

Data training

Not Disclosed

Autonomy

Human Optional

Capabilities

terminal-agentagentic-codinggit-nativeweb-searchopen-source

Pros & Limitations

Editorial assessment

Pros

  • Gemini 3 models with a 1 million token context window: loads entire large codebases into context without manual file selection, a meaningful advantage over Claude Code (200K tokens) and GitHub Copilot for long-horizon refactoring and analysis across complex repositories.
  • Open-source Apache 2.0 codebase with 105,000 GitHub stars: fully auditable and forkable, with extensive community contributions including MCP server integrations, GitHub Actions automation, and VS Code, Sublime Text, and Emacs support.
  • Enterprise customers retain full access with Gemini Code Assist Standard or Enterprise licenses: organizations already on Google Cloud infrastructure maintain uninterrupted Gemini CLI access with the latest models, Vertex AI compliance, and existing authentication workflows.

Limitations

  • Free hosted tier ended June 18, 2026: the 1,000 requests/day free tier that made Gemini CLI attractive for individual developers is no longer available. Individual users must migrate to Antigravity CLI or switch to alternative tools like Aider or OpenCode for free terminal AI coding.
  • Antigravity CLI replacement is closed-source: the Go-based successor ships as a proprietary binary, ending the open-source transparency that attracted 105,000 GitHub stars and 6,000+ community pull requests to the original Gemini CLI project.
  • Locked to the Gemini model family with no multi-model support: developers who prefer Claude for complex reasoning, GPT for specific tasks, or local models for privacy-sensitive codebases must use a separate tool, unlike Aider, Cline, and OpenCode which support multiple LLM providers under one interface.

Technical Details

Deployment
terminal
Model architectureGemini (Google)
Avg setup time< 15 minutes (install via npm, configure Gemini API key from Google AI Studio, run first agent task)
Autonomous rateConfigurable: Gemini CLI runs autonomous multi-step tasks with developer approval gates; supports headless automation for CI/CD integration
MCP compatibleYes
Integrations
GitHubGitHub ActionsGoogle SearchGoogle DriveVS CodeSublime TextEmacsMCPVertex AIGoogle ImagenGoogle VeoGoogle LyriaSlack

Similar agents

Rating

4.4/ 5

Editorial score

How we score this →

Score breakdown

AutCap 4 · IntDepth 5 · PriceTrans 5 · IndEvid 4 · SetupAcc 5 = 4.35

Industries

DevToolsOpen SourceCloud

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