Four terms that answer two different questions
“Local AI,” “cloud AI,” “AI assistant” and “AI agent” are often used as though they mean the same thing. They actually describe different parts of an AI system.
Local versus cloud describes where the AI model runs. Assistant versus agent describes how the system behaves and what actions it can take.
The simple answer
Two locations and two ways of working.
- Local AI runs mainly on your own computer.
- Cloud AI runs on remote computers reached through the internet.
- An assistant mainly responds when you ask for something.
- An agent can receive a goal, use permitted tools and work through several steps.
What is local AI?
Local AI usually means that the AI model runs on your own computer. You download a model file and open it with suitable software. LM Studio is one beginner-friendly example: after the software, model and required components have been downloaded, many core tasks can run without an internet connection.
Your computer supplies the processing power, memory, storage and electricity. That means performance depends on your hardware, and larger models may be slow or may not fit at all. Smaller local models can still be useful, although they may be less capable than leading cloud models.
Conversations may stay on your computer, depending on the application and settings. Optional web search, plugins, update checks and other integrations may still contact online services, so “local” does not automatically mean that nothing ever leaves the device.
Everyday example
A writing assistant on your laptop.
You download a suitable model, open it in LM Studio and ask it to rewrite a letter. The model produces the response on your computer, even when you are offline.
What is cloud AI?
Cloud AI runs on computers operated by a service provider. You reach it through a website, desktop application, mobile application or an API—a controlled way for one program to communicate with another.
Cloud services normally need an internet connection, but they require little local hardware setup. The provider handles the model, computing hardware and updates, which can make powerful models available even on an ordinary laptop or phone.
Free access may have limits. Other services may use subscriptions or charge according to usage. Prompts and uploaded files may be processed on external servers, and privacy, retention and training policies vary by provider, account type and settings.
Everyday example
An online assistant in your browser.
You open a service, upload a document and request a summary. Your device sends the request to the provider’s computers, which generate and return the answer.
What is an AI assistant?
An AI assistant usually waits for a request and then responds or completes a clearly requested task. It might answer a question, rewrite text, summarize a document, suggest code or create an image.
“Assistant” describes the interaction style, not the location. An assistant can run locally or in the cloud. It also does not necessarily have permission to browse the web, open your files or take actions in other applications.
What is an AI agent?
An AI agent is an AI system that can work toward a goal through more than one step. It can select or plan steps, use tools you have allowed, inspect the results and continue until the task is complete, blocked or needs your approval.
For example, you could ask an agent to find suitable files in an approved folder, summarize them, create a draft and save the result. That only works if the agent has suitable file tools and permission to use them.
An agent is not conscious, magical or independent in every sense. Its usefulness depends on its underlying model, available tools, access permissions, safety restrictions and instructions. It can make mistakes, and many agents pause for approval before important or sensitive actions.
Local AI and AI agents are not opposites
Location and behavior are separate dimensions. An AI system can fit into any of these four combinations.
Local AI assistant
A model on your computer that responds to your requests.
- Example
- A model in LM Studio answering questions.
- Major advantage
- Can work offline with more local control.
- Important limitation
- Limited by your hardware and available model.
Local AI agent
A local model connected to tools that can perform approved steps.
- Example
- Inspecting and editing copies of selected local files.
- Major advantage
- Can automate local work with controlled access.
- Important limitation
- Needs careful setup, permissions and supervision.
Cloud AI assistant
An online service that answers questions or generates content.
- Example
- A browser-based chatbot summarizing supplied text.
- Major advantage
- Easy access to powerful hosted models.
- Important limitation
- Usually needs internet and processes data remotely.
Cloud AI agent
An online system that can use connected tools to complete workflows.
- Example
- Researching online information and drafting a report with approval.
- Major advantage
- Can work across online services and hosted resources.
- Important limitation
- Tool access creates additional privacy and action risks.
Local AI vs cloud AI
Neither location is automatically better. The practical choice depends on the task, hardware, privacy needs and amount of setup you want.
Where it runs
Local AIPrimarily on your computer.
Cloud AIOn a provider’s remote servers.
Internet
Local AIOften optional after setup and downloads.
Cloud AIUsually required during use.
Setup
Local AISoftware, model and hardware choices are required.
Cloud AIUsually ready after opening an account or application.
Hardware
Local AIYour computer limits model size and speed.
Cloud AIThe provider supplies the computing hardware.
Model capability
Local AIStrong for many tasks; smaller models may be less capable.
Cloud AIOften provides access to larger leading models.
Privacy control
Local AIMore direct control, depending on the whole setup.
Cloud AIDepends on provider, plan, settings and policy.
Data leaving device
Local AIMay stay local unless integrations contact online services.
Cloud AIPrompts or files are normally sent to remote servers.
Speed and latency
Local AIDepends on hardware; avoids internet delay.
Cloud AIFast hardware, but network conditions also matter.
Ongoing cost
Local AIHardware, storage and electricity; software or models may also cost money.
Cloud AIMay be free, limited, subscription-based or pay-per-use.
Offline availability
Local AIOften available after required files are downloaded.
Cloud AIUsually unavailable without internet.
Updates
Local AIYou decide when to update software and models.
Cloud AIThe provider handles most updates.
Tool integrations
Local AIPossible, but often needs manual configuration.
Cloud AIMay offer ready-made online integrations.
Maintenance
Local AIYou maintain the installation and troubleshoot problems.
Cloud AIThe provider maintains the service infrastructure.
Local assistant vs AI agent
An assistant is usually conversational. An agent is designed to continue through a workflow. Tool access makes an agent more useful, but also increases what can go wrong.
Interaction
AssistantResponds to a direct request.
AgentWorks toward a broader goal.
Steps
AssistantUsually one response or clearly defined task.
AgentCan select and repeat several steps.
Tool use
AssistantMay have no tools or only optional ones.
AgentUses permitted tools as part of its workflow.
Actions
AssistantMainly provides information or generated content.
AgentMay create, edit, search or submit through connected tools.
Permissions
AssistantOften needs little access.
AgentNeeds explicit access to tools and data.
Risk
AssistantErrors mainly affect the answer you receive.
AgentErrors may affect files, accounts or connected services.
Approval
AssistantYou decide what to do with its answer.
AgentShould pause for approval before important actions.
Best use
AssistantQuestions, drafting, explanations and ideas.
AgentRepeatable multi-step tasks with clear boundaries.
What can a cloud agent do that local AI may not do easily?
A cloud agent can be connected to hosted tools and powerful remote infrastructure. With suitable permission, it may be able to:
- Search current information on the live web.
- Use cloud-hosted services and remote computing resources.
- Work with connected email or calendars.
- Move between several approved online applications.
- Continue complex workflows on hosted infrastructure.
A local system can sometimes gain similar abilities, but it normally requires more integrations, permissions, setup and maintenance. Capabilities are never automatic merely because a system is called an agent.
What can local AI do especially well?
- Offline writing, rewriting and brainstorming.
- Summarizing text you provide.
- Private experimentation with different models.
- Repeating tasks without per-message cloud usage.
- Using custom prompts for familiar local work.
- Helping you learn how AI models behave.
- Working with approved local files when suitable tools are configured.
Privacy depends on the entire setup: the application, plugins, integrations, operating system, settings and network activity. A locally running model is only one part of that system.
Which one should you choose?
Choose local AI when…
- You want offline access.
- You prefer more control over where data is processed.
- Your computer can run a suitable model.
- You are comfortable with some setup.
- Your tasks do not require live online services.
Choose cloud AI when…
- You want the easiest setup.
- You need stronger hosted models.
- You need current online information.
- You want integrations with cloud services.
- Your computer cannot run a useful local model.
Consider an AI agent when…
- The task has several repeatable steps.
- The required tools can be connected safely.
- You understand the permissions it receives.
- You can review important actions and results.
You do not have to choose only one. Many people use cloud AI for powerful models and online services, while using local AI for offline work, experimentation or tasks they prefer to keep on their own computer.
Can local AI become an agent?
Yes. A local model can be connected to file tools, code editors, terminals, search systems, automation tools, local applications and APIs. Those tools can allow it to inspect information and perform approved actions.
Every added tool also increases complexity and risk. Start with the smallest practical permissions, test on copies of files and require confirmation before destructive or difficult-to-reverse actions. Do not give an experimental system unrestricted access merely to make setup easier.
Common misconceptions
“Local AI means nothing can ever leave my computer.”
The model may run locally, but updates, plugins, web tools or telemetry can still communicate online. Check the whole setup.
“Cloud AI can see everything on my computer.”
A cloud service normally receives what you submit or explicitly connect. Its access depends on permissions, applications and account settings.
“Every AI chatbot is an agent.”
No. A chatbot that returns answers without pursuing a multi-step goal is usually acting as an assistant.
“Agents can complete any task without supervision.”
Agents are limited by tools, access, instructions and model quality. Important actions often require human approval.
“Local AI is always free.”
Many models and applications are free to use, but hardware, storage and electricity still cost money. Some local software or models may also be paid.
“Cloud AI is always more dangerous.”
Risk depends on the provider, policies, connected tools and task. A poorly configured local agent can also cause harm.
“A larger model is always the best choice.”
A smaller model that runs comfortably may be faster and more useful. Fit, task and model quality matter more than size alone.
“Offline AI already knows today’s news.”
An offline model only knows information represented in its training and supplied context. It needs a current source or search tool for today’s events.
Beginner glossary
- AI model
- The trained system that recognizes patterns and generates responses.
- Local AI
- An AI model that runs primarily on your own computer.
- Cloud AI
- An AI model that runs on remote servers reached through the internet.
- AI assistant
- A system that mainly responds to requests and helps with clearly defined tasks.
- AI agent
- A system that can use permitted tools and work through several steps toward a goal.
- Tool
- A capability an AI system can call, such as reading an approved file or searching a source.
- API
- A structured way for software programs to communicate with each other.
- Context window
- The amount of text or other information a model can consider at one time.
- Inference
- The process of running a trained model to produce an answer.
- Permission
- Approval that controls which files, accounts, applications or actions a tool can access.
Frequently asked questions
Can local AI work completely offline?
Yes, many local models can work offline after the software, model and required components are downloaded. Updates, model searches and optional integrations may still need internet access.
Is local AI more private than cloud AI?
It can provide more direct control because processing may stay on your computer. Actual privacy still depends on the application, settings, extensions and network activity.
Can a local AI browse the internet?
Not automatically. It needs a separate search or browser tool, suitable permissions and an internet connection.
Can a local AI edit files on my computer?
Only when software gives it file tools and permission. Start with selected folders and copies of files, and review changes carefully.
Is ChatGPT an assistant or an agent?
It is commonly used as an assistant. Some versions and modes can also perform agent-like workflows with tools. The answer depends on the current feature, connected tools, settings and permissions.
Do AI agents act without permission?
They can act only within the access a system gives them. Well-designed agents ask for approval before important actions, but behavior varies by product and configuration.
Can my current PC run local AI?
Many modern computers can run smaller models. Your graphics hardware, video memory, system memory and processor affect which models will feel comfortable.
Should a beginner start with local or cloud AI?
Cloud AI is often the easiest introduction. Local AI is a good next step when offline access, experimentation or more processing control matters to you.
Can I use both?
Yes. Local and cloud AI are complementary, and many people choose between them according to the task.
Will an AI agent replace normal apps?
Usually not. Agents often rely on normal applications and services as tools. They may reduce repetitive steps, but the underlying apps still provide important functions and controls.