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Unlike talkative chatbots, AI agents can take real actions by making use of tools and carrying out genuine tasks in other systems. Most importantly, they have learning capabilities that allow them to get better over time for what works and what doesn't. |
### What AI Agents Do Best |
AI agents are best at performing complex work that has lots of steps and decisions. They can take entire workflows from start to finish and manage all the details in between. When given problems that involve several steps, they can break them down, solve each part, and combine everything for a solution. |
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AI agents are also extremely capable of bringing different systems together, moving data from one program to another and making everything work in harmony. Most importantly, they can do all of this independently without the need for constant supervision, freeing up humans to focus on more strategic and creative tasks. |
## Key Differences |
### 1. How They Work |
**Chatbots** are reactive. They wait around for you to pose a question, then react. It's like having a conversation with an expert individual who can only reply to questions. |
**AI Agents** are proactive. They can start tasks, make decisions, and act toward objectives without being instructed to do so. |
### 2. What They Can Do |
**Chatbots** are limited to conversation. They can: |
- Reply to questions |
- Provide information |
- Guide through basic processes |
**AI Agents** can do much more. They can: |
- Use multiple tools |
- Sign in to multiple systems |
- Complete complex workflows |
- Make decisions based on data |
### 3. Learning and Improvement |
**Chatbots** learn from conversation to enhance comprehension and response. |
**AI Agents** learn from activity and result. They can adjust strategies and improve how they get things done. |
### 4. Integration |
**Chatbots** will typically function as standalone systems or with simple integrations. |
**AI Agents** can integrate closely with other systems, databases, and APIs to get work done. |
## Building AI Agents with VoltAgent |
### What is VoltAgent? |
[VoltAgent](https://github.com/VoltAgent/voltagent) is an open-source platform that makes it easy to build AI agents. Instead of starting from scratch, developers can leverage VoltAgent to build powerful AI agents in no time. |
### Why VoltAgent is Different |
Other chatbot platforms are focused on conversation. VoltAgent is focused on action. It provides: |
- **Tool Integration**: Easy integration with services and APIs |
- **Memory Management**: Agents remember past interactions |
- **Workflow Support**: Handle complex, multi-step processes |
- **Multiple AI Providers**: Integrate with different AI models |
Getting started with the framework is kept simple: |
<Tabs> |
<TabItem value="npm" label="npm" default> |
```bash |
npm create voltagent-app@latest my-ai-app |
``` |
</TabItem> |
<TabItem value="yarn" label="yarn"> |
```bash |
yarn create voltagent-app my-ai-app |
``` |
</TabItem> |
<TabItem value="pnpm" label="pnpm"> |
```bash |
pnpm create voltagent-app my-ai-app |
``` |
</TabItem> |
</Tabs> |
The CLI guides you through the setup process: |
1. **Project name** selection |
2. **AI Provider** choice (OpenAI, Anthropic, Google, Groq, etc.) |
3. **API Key** setup (optional) |
4. **Package manager** selection |
5. **IDE configuration** |
After setup is complete: |
```bash |
cd my-ai-app |
npm run dev |
``` |
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