“Gemini”

Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge.

Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.

사용자가 $mst:gemini 또는 /mst:gemini을 명시적으로 호출하거나 MST/Gran Maestro/Maestro의 gemini 기능 사용을 명시적으로 요청한 경우에만 실행합니다.

AGENTS.md from career-ops-hq/career-ops: 689 lines covering Origin, Data Contract (CRITICAL), Source-of-Truth Boundary (CRITICAL), Untrusted External Content…

AGENTS.md from rohitg00/ai-engineering-from-scratch: 334 lines covering Philosophy, Repo layout, Hard rules, Dependencies and more.

AGENTS.md from ZhuLinsen/daily_stock_analysis: 292 lines covering 1.

Gemini

houtini-ai

Model Context Protocol server for Google Gemini AI with chat, research, and grounding

MCP server that exposes Google Gemini as tools for Claude Code

Gemini 3 MCP server with 30+ tools: images, video, research, TTS, code exec & CLI

Gemini CLI Companion

Google

Enable Gemini CLI with direct access to your IDE workspace.

Gemini Commits

midnightgb

Generate conventional commits using Gemini AI by analyzing your staged changes with context-aware analysis and smart large diff handling

𓁆 Seshat — Gemini Bridge

SirsiMaster

Bidirectional knowledge sync: Gemini AI Mode ↔ NotebookLM ↔ Antigravity IDE.

Open-source terminal agent that queries and edits codebases and automates tasks with Gemini models

Gemini agentic research feature that plans, searches the web and writes multi-page reports.

Google's AI coding assistant for IDEs and the terminal, sold as Standard and Enterprise editions through Google Cloud.

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks.

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous…

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.

Python SDK for building agents on Google Antigravity and Gemini, with the agent loop handled by the runtime.

Open-source toolkit for building, evaluating and deploying agents in Python, TypeScript, Go, Java and Kotlin, tuned for Gemini but model-agnostic.

Python agent framework from Alibaba that lets the model drive tool use, with team pipelines, MCP, agent skills, A2A, memory and tracing.

Google Cloud platform for building, deploying and governing enterprise AI agents, with a low-code Agent Studio and an Agent Development Kit

Open-source, GPL-3.0 platform for building agents with RAG pipelines, a workflow engine and MCP tool use, run from a Docker container

Open-source visual AI agent studio with drag-and-drop agent building, multi-model support and a vector-backed knowledge store.

Managed platform on Google Cloud to build, scale, govern and optimize enterprise AI agents.

Gateway for AI apps that adds analytics, logging, caching, rate limiting and retries to model calls.

Enterprise AI platform for managed, grounded agents that answer from your data with citations.

Configurable safeguards for generative AI apps that filter harmful content, redact PII and detect hallucinations.

Checkout integration for accepting purchases from AI assistants, with agent verification and intent controls