Google Gemini Agents: Everything You Need to Know
Google is betting big on AI agents. Gemini is no longer just a chatbot. With the launch of Gemini agents (previously called "Project Mariner" and "Jules"), Google has entered the autonomous AI agent space. Here is everything you need to know as of April 2026.
What Are Google Gemini Agents?
Gemini agents are autonomous AI systems built on Google's Gemini models that can browse the web, use Google Workspace tools, execute code, and complete multi-step tasks without constant human input. They represent Google's push beyond conversational AI into the agent space.
If you need a refresher on what-are, start there. The short version: agents take actions, assistants just talk.
The Gemini Agent Family
| Agent | What It Does | Available In | Status |
|---|---|---|---|
| Gemini in Workspace | Automates Gmail, Docs, Sheets, Slides tasks | Google Workspace | GA (Generally Available) |
| Project Mariner | Browses the web, fills forms, completes online tasks | Chrome Extension | Limited Preview |
| Jules | Coding agent (bug fixes, pull requests) | GitHub Integration | Beta |
| Gemini API Agents | Custom agents via API with tool use | Google AI Studio / Vertex AI | GA |
| NotebookLM | Research agent that works with your documents | Web app | GA |
Gemini in Google Workspace: The Productivity Agent
This is the Gemini agent most people will encounter first. If your company uses Google Workspace, Gemini can now:
- Gmail: Draft replies, summarize threads, create follow-up reminders, categorize and prioritize your inbox
- Google Docs: Write drafts, edit for tone, create summaries, generate content from outlines
- Google Sheets: Create formulas, build charts, analyze data, generate pivot tables from natural language
- Google Slides: Generate presentation decks from documents, create speaker notes, design layouts
- Google Meet: Take notes, create action items, summarize meetings you missed
The power move is chaining these together. "Read the last 5 emails from [client], create a summary doc, and draft a Slides presentation for our meeting tomorrow." That is agent behavior. Multi-step, multi-tool, autonomous.
Project Mariner: The Web Browsing Agent
Project Mariner is Google's answer to the question "what if AI could use the internet like a human?" It runs as a Chrome extension and can:
- Navigate websites and click through pages
- Fill out forms and complete purchases
- Research across multiple sites and compile findings
- Monitor pages for changes
In my testing, Mariner handles simple web tasks well. "Find the cheapest flight from Toronto to Miami on these dates" works great. Complex tasks with authentication or CAPTCHAs still trip it up.
Jules: The Coding Agent
Jules is Google's coding agent, directly competing with Claude Code and GitHub Copilot. It connects to your GitHub repos and can:
- Fix bugs from issue descriptions
- Write pull requests with tests
- Refactor code across multiple files
- Explain codebases and suggest improvements
I tested Jules against Claude Code. My honest assessment: Claude Code is still ahead for complex, multi-file tasks. Jules is faster for simple bug fixes and small PRs. I wrote a more detailed coding that covers this.
Gemini API: Building Custom Agents
For developers, the Gemini API now supports full agent capabilities:
- Function Calling: Define tools your agent can use and Gemini decides when to call them
- Code Execution: Gemini can write and run Python code in a sandboxed environment
- Grounding with Google Search: Agent can search the web in real-time for current information
- Context Caching: Store large contexts (like documents) and reuse them across requests cheaply
Gemini API Pricing for Agents
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Context Window |
|---|---|---|---|
| Gemini 2.5 Pro | $1.25 | $10.00 | 1M tokens |
| Gemini 2.5 Flash | $0.15 | $0.60 | 1M tokens |
| Gemini 2.0 Flash | Free (rate limited) | Free (rate limited) | 1M tokens |
The pricing is aggressive. Gemini 2.5 Flash is one of the cheapest capable models available. For agent workloads that process a lot of text (like RAG or document analysis), Google is hard to beat on price. Check my pricing for the full picture across all providers.
Strengths of Gemini Agents
- Google Ecosystem Integration: If your business runs on Google Workspace, Gemini agents have native access to everything. No API hacking needed.
- Massive Context Window: 1M+ tokens means you can stuff entire codebases or document libraries into context without RAG.
- Multimodal: Gemini handles text, images, video, and audio natively. Your agent can watch a video and summarize it.
- Price: For high-volume agent workloads, Gemini is often the cheapest option.
- Google Search Grounding: Built-in ability to search the web for current information. No third-party search API needed.
Weaknesses of Gemini Agents
- Instruction Following: In my testing, Claude and GPT-4o follow complex instructions more reliably. Gemini sometimes ignores constraints or takes shortcuts.
- Code Quality: For coding tasks, Claude Code produces cleaner, more idiomatic code. Jules is catching up but is not there yet.
- Ecosystem Lock-in: The best Gemini agent features require Google Workspace. If you use Microsoft 365 or other tools, you lose the biggest advantage.
- Maturity: Claude Code and Copilot have been in the agent game longer. Their tooling is more polished and has fewer rough edges.
Gemini vs Claude vs ChatGPT for Agents
| Category | Gemini | Claude | ChatGPT/GPT-4o |
|---|---|---|---|
| Best For | Google Workspace automation | Coding, writing, complex reasoning | General tasks, browsing, plugins |
| Agent Maturity | Medium | High | Medium-High |
| Pricing | Cheapest at scale | Mid-range | Mid-range |
| Context Window | 1M-2M tokens | 200K tokens | 128K tokens |
| Coding | Good (Jules) | Excellent (Claude Code) | Good (Copilot/Codex) |
My take: I use all three. Gemini for Google Workspace tasks and high-volume processing. Claude for coding and content. ChatGPT for web browsing and quick tasks. The platforms article has more detail on when to use which.
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Who Should Use Gemini Agents
- Google Workspace businesses: If your company lives in Gmail, Docs, and Sheets, Gemini is the obvious choice. The integration is seamless.
- Budget-conscious builders: Gemini Flash is the cheapest capable model for agent workloads. If you are processing thousands of documents, the cost savings are significant.
- Multimodal use cases: If your agents need to process video, audio, or images alongside text, Gemini's native multimodal support is best-in-class.
How to Get Started With Gemini Agents
- For Workspace users: Enable Gemini in your Google Workspace admin panel. It starts working in Gmail, Docs, and Sheets immediately.
- For developers: Sign up at ai.google.dev. Get a free API key. Start with Gemini 2.0 Flash (it is free with rate limits).
- For coding: Request access to Jules through the GitHub integration waitlist.
- For web automation: Join the Project Mariner preview through Google Labs.
If you are comparing all your options, check out the free-agents to test before committing.
FAQ
Is Gemini better than Claude for AI agents?
It depends on your use case. For Google Workspace automation and budget-sensitive workloads, Gemini wins. For coding, complex reasoning, and content quality, Claude is still ahead. Most builders use both.
Is Gemini agents free?
Gemini in Workspace requires a Google Workspace plan ($12-25/user/month). The Gemini API has a free tier with rate limits. Jules and Project Mariner are in preview (free during preview period).
Can I build custom agents with Gemini?
Yes. The Gemini API supports function calling, code execution, and grounding. You can build custom agents using Python, JavaScript, or any language that can make HTTP requests.
Does Gemini have memory like Claude Code?
Sort of. Gemini API supports context caching (store and reuse large contexts) and you can implement persistent memory using their API. But it does not have a built-in file-based memory system like Claude Code's CLAUDE.md approach. You need to build that layer yourself.
Will Gemini agents replace human workers?
For structured, repeatable tasks: they already are. For creative, strategic, and relationship-based work: not anytime soon. The smart play is using agents to handle the repetitive stuff so humans can focus on high-value work.