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Antigravity CLI

Developer: Google

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Quick Answer — What are AI agents for finance?Gemini CLI is Google's AI coding assistant for the terminal, powered by Gemini 2.0 models. It generates code, explains codebases, debugs issues, and integrates deeply with Google Cloud Platform. Available for free with a Google account.

Antigravity CLI (formerly Gemini CLI, shut down June 18 2026) — Google's Go-rewritten terminal AI agent with Agent Skills, Hooks, Subagents, and async background workflows. Free for all users.

Pricing Model: Free tier available with Google account; advanced features via Google One AI Premium

Free
Free
Enterprise
Free

Antigravity CLI is Google's AI coding agent for the command line, developed by Google. Google shut down Gemini CLI on June 18 2026 and replaced it with Antigravity CLI — a Go rewrite with the same features (Agent Skills, Hooks, Subagents, Extensions) plus faster execution and async background workflows. It shares the same agent harness as the Antigravity 2.0 desktop app. Antigravity CLI operates as a native terminal application that can generate code, explain complex codebases, debug issues, write tests, and automate repetitive development tasks. It is designed for developers who prefer terminal-based workflows and want AI assistance without leaving the command line. It supports interactive chat sessions, file-aware context gathering, and execution of generated code with user approval. Antigravity CLI integrates with Google Cloud services, making it particularly powerful for developers working with GCP, BigQuery, Cloud Run, and other Google Cloud Platform services. It can access and analyze local files, understand project structure, and provide context-aware suggestions. Antigravity CLI is built on Google's Gemini 3.5 Flash models. It is available for free with a Google account, with enterprise features available through Google Cloud Gemini Enterprise Agent Platform.

Key Use Cases

Code generation and explanation — generate code in any language directly from the terminal and get detailed explanations of existing codeGoogle Cloud integration — manage GCP resources, write Cloud Run services, query BigQuery, and automate cloud deployments from the CLIDebugging and troubleshooting — paste error logs and get root cause analysis with suggested fixes, or let Gemini analyze your code for bugsTest generation and automation — automatically generate unit tests, integration tests, and test data for your codebaseDocumentation and code review — generate documentation, review pull requests, and analyze code quality from the command line

Data Connectors

Local filesystemGoogle Cloud StorageBigQueryGitHubGitLab

Best For

Software EngineerDevOps EngineerCloud EngineerData ScientistFull-Stack EngineerSRE
AI Model: Gemini 3.5 FlashDeployment: cloudEnterprise Clients: Google internal teams, Various GCP enterprise customers

Finatune Ecosystem

MCP Servers

Finance AI Skills

Data & Intelligence

Finance RAG

Underlying AI Models

Related Resources

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