What are ChatGPT Agents?
ChatGPT Agents is OpenAI's hosted autonomous agent feature, built into ChatGPT and launched in 2025. It takes the ideas from Operator (the web-browsing agent) and Deep Research (the long-running research agent) and combines them into a single "Agent mode" you can switch on from the model picker.
Unlike a normal ChatGPT turn, an agent runs inside its own virtual computer. It has a browser, a terminal that can run code, and a file system it can read and write to. You give it a goal — "find the cheapest non-stop flight to Tokyo and book a hotel near Shibuya" — and it works through the steps on its own, asking for approval before anything sensitive.
Key Features of ChatGPT Agents
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Multi-step task execution
Break down complex goals into steps and execute them autonomously without user intervention.
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Hosted browser, terminal, and file system
Each agent runs inside its own sandboxed VM. It can browse real websites, run shell commands and code, and read or edit files as part of the task.
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Asynchronous, long-running tasks
You can leave an agent running in the background and come back to a finished result — useful for research, data collection, and admin work.
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Approval-gated actions
The agent pauses and asks before signing in, paying, or doing anything that materially affects your accounts, so you stay in control of sensitive steps.
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Built on Operator and Deep Research
Inherits the browsing skills of Operator and the deep-search behaviour of Deep Research, so a single agent can both gather information and act on it.
How ChatGPT Agents Work
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1
Switch to Agent mode in ChatGPT
Open ChatGPT (Plus, Pro, Team, or Enterprise), pick Agent from the model selector, and describe what you want done. Agent mode unlocks the browser, terminal, and file system; without it, ChatGPT just chats.
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The agent spins up its own virtual computer
A sandboxed Linux VM with Chromium, Python, and a file system is allocated to your task. The agent sees the desktop, can click and type into the browser, and can run shell commands or scripts — all isolated from your own machine.
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It works step by step, asking for approval when needed
The agent plans, browses, runs code, and updates files autonomously. When it hits something sensitive — sign in, payment, account changes — it pauses and asks you to confirm. You can also intervene mid-task to nudge the direction.
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You collect the finished output
When the task completes, you get the deliverable (file, spreadsheet, summary) plus a transcript of every step the agent took. The transcript is essential for trust — you can audit exactly what the agent clicked and typed before relying on the output.
Real Use Cases of ChatGPT Agents
1. Research and competitive analysis
Open multiple sites, pull pricing, features, and reviews, and hand back a structured comparison or spreadsheet.
2. Spreadsheets, slides, and reports
Take a brief, gather the numbers, and produce a working spreadsheet or slide deck — not just a text summary.
3. Admin and life automation
Compare flights, fill out forms, draft replies in your inbox, or summarise long PDFs into a checklist.
4. Light scripting and data wrangling
Run Python in the sandbox to clean CSVs, hit APIs, or transform files without you setting up a local environment.
Pros and Cons of ChatGPT Agents
Pros
- + Genuinely autonomous — finishes long tasks without constant prompting
- + Hosted VM with browser, code, and files in one place
- + Asks for approval before sensitive actions
- + Included in existing ChatGPT Plus, Pro, Team, and Enterprise plans
Cons
- - Not on the free plan
- - Can still misclick, hallucinate, or take wrong turns on complex sites
- - Slower than a plain chat turn — tasks can take many minutes
- - Not a coding agent — for repo work, use a dedicated coding agent
ChatGPT Agents Pricing
ChatGPT Agents is bundled with paid ChatGPT plans rather than sold as a separate product:
| Plan | Price | Notes |
|---|---|---|
| ChatGPT Plus | $20/month | Individual use, monthly cap on agent tasks |
| ChatGPT Pro | $200/month | Heavier agent usage and longer-running tasks |
| ChatGPT Team | $25–$30/user/month | Shared workspace and admin controls |
| ChatGPT Enterprise | Custom | SSO, data controls, higher limits |
Check the latest pricing on openai.com — plans and limits change over time.
Alternatives to ChatGPT Agents
If you want to compare other autonomous agents, these are the closest options:
Anthropic Managed Agents
Hosted Claude-based agents with the same async, tool-using shape — strong choice if you already prefer Claude for reasoning.
AutoGPT
Open-source autonomous agent you can self-host — maximum control for developers who don't mind managing infra.
CrewAI
Multi-agent orchestration framework — best for workflows that need a coordinated crew of specialized agents rather than a single general agent.
LangChain
Build your own agent pipeline with full flexibility using LangChain and LangGraph — ideal for developers who need custom tool integrations.
For the base chatbot underneath the agent, see our ChatGPT review.
Tips for Getting the Most Out of ChatGPT Agents
- 1.Be specific about the deliverable — "create a spreadsheet with columns X, Y, Z" beats "do research on X".
- 2.Review the full action transcript before using the output, especially for web-based tasks.
- 3.Use approval checkpoints wisely — approve logins and actions only for sites you trust.
- 4.Start with low-stakes tasks to build trust before giving it access to important accounts.
- 5.For coding-heavy tasks, a dedicated coding agent will outperform the general Agent mode.