OpenClaw: What it is and how to create your own autonomous AI agent.
Table of Contents
A artificial intelligence It is undergoing a silent (and profound) transformation. While until recently we only talked about chatbots that answer questions, we are now beginning to see the emergence of autonomous agents, systems capable not only of understanding commands but also of acting on their own. One of the most discussed examples of this movement is... OpenClaw, previously known as Moltbot.
Unlike traditional assistants, OpenClaw can execute actions directly on your computer, interact with applications, maintain long-term memory, and make decisions within predefined rules. This opens doors to extremely powerful automations, but at the same time, it also raises important security concerns.
What is it and how does it work?
O OpenClaw It is an autonomous AI agent. open source which runs locally on the user's computer (unlike AI agents such as chatGPT and Gemini, which run on servers). Before understanding OpenClaw, it's important to understand the concept of an AI agent. Unlike traditional chatbots, which only answer questions, an AI agent is a system designed to perceive the environment, make decisions, and continuously execute actions to achieve a goal.
In simple terms:
- Chatbot -> responds
- AI agent → plans + executes + evaluates results
An agent is given a goal (for example, "organize my financial life"), breaks that goal down into smaller tasks, chooses appropriate tools (API calls, internet access, or computer code interpretation), and executes each step, adjusting its behavior according to the results.
This is exactly where the OpenClawIt is an open-source autonomous AI agent that runs locally on the user's computer and transforms the PC into an intelligent automation platform. Instead of functioning merely as a chat window, it acts as a task orchestrator, capable of controlling applications, accessing files, browsing the web, and interacting with external services.
Its operation is based on four main layers:
- Language Model (LLM): responsible for reasoning and understanding commands
- Memory system: stores short-term and long-term information
- Planning module: divide objectives into subtasks
- ToolsThey allow real actions in the system.
When you send a command, OpenClaw:
- Interpret the objective.
- Create an action plan.
- Select the necessary tools.
- Execute each step.
- Assess whether the objective was achieved.
This cycle repeats until the task is completed or interrupted by the user. In practice, this makes OpenClaw function more like an operational assistant than a chatbot. It not only suggests, but acts.
History and name changes
The project began as an independent automation experiment based on AI agents, created by the developer. Peter SteinbergerIn 2005, the initial proposal was simple: to build a personal agent capable of performing real tasks on a computer, without relying on proprietary cloud services.
The project's original name was Clawdbot, highlighting its experimental nature. Furthermore, the project's first icon was a lobster, referencing its claw. "claw"The English word "moltbot" was part of the name. As it gained popularity and received contributions from the community, it became known as Moltbot, a name that quickly spread on social media after users reported curious behaviors of the agent—such as interactions between AIs and unexpected automations.
As the project grew, two problems arose: confusion between chatbot and autonomous agent, and the use of the name in forks and modified versions. To resolve this, the creator decided to officially adopt the name OpenClaw, reinforcing two central concepts:
- The project is open source (open source)
- The focus is on autonomous agents, not chatbots.
Since then, OpenClaw has been maintained in public repositories, with clearer documentation, an extension system, and stricter security standards. Today, OpenClaw is seen as one of the most accessible examples of a personal autonomous agent, serving both for experimentation and for real-world use in task automation.
Risks
Despite its potential, OpenClaw also presents significant risks. Because it has deep access to the system, a poorly configured agent could:
- Delete important files
- Leaking sensitive data
- Install unwanted programs
Furthermore, modified versions of the project may contain malicious code. Therefore, using only official repositories and reviewing permissions is essential. Another critical point is excessive autonomy: an agent that makes decisions without human validation may execute incorrect actions based on incorrect interpretations.
Therefore, remember: the use of OpenClaw It's not 100% safe. When installing and configuring the AI agent on your machine You are giving access to your files and settings. This is an unreliable program. Therefore, conduct any transaction with this agent with extreme caution and be aware of the risks!
How to create your agent and install it on your PC.
Creating an OpenClaw agent requires some basic knowledge, but it's possible even for intermediate users.
Requirements
- PC with Windows, Linux, or macOS
- Python 3.10 or higher
- Git installed
- Account with an LLM service (such as OpenAI or another compatible service)
- API key for the chosen model
Installation of prerequisites (Windows/Linux/Mac)
1. First, let's download and install Python. Windows, access the official language website Download the installer and follow the on-screen instructions to configure it correctly on your machine.
2. Open the installer file and check the option "Add python.exe to PATH" and choose "Customize installation".
3. On this screen, leave all options checked and also check “for all users (requires admin privileges)” and click "Next".
4. On the next screen, do not change the options already selected and check “Install Python 3.14 for all users” and click "Install".
5. Finally, wait for the installation process to complete until the last window and click "Close".
6. Now for LinuxSimply open the command terminal. On Linux, use the combination Ctrl + Alt + TOnce the window is open on either system, use the following command:
sudo apt install python3Just type "Y" ou "Yes"press "Enter" and wait for the installation process to complete so that the Python Make sure it's configured correctly on your machine.
7. Finally, to install Python on MacOS You will follow a procedure very similar to Windows, first accessing the download page and downloading the installer.
8. On the first screen, just click on "Continue".
9. click in "Continue" both on the screens of "Read Me" e "License".
10. click in “Agree” to agree to the License Terms.
11. On the installation screen, just click on "Install".
12. Finally, wait for the installation to complete and press [button name/icon]. "Close" to close the installer.
13. Next, you need to install Git on your machine. First, access the official website of the repository management service and follow the instructions for installation on your operating system. For Windows, download the installer and, when you open it, click on "Next".
14. Select the destination folder (you can leave the installer's default folder), and click on "Next".
15. Leave all previously selected component options and click on "Next".
16. Do not change any options on this screen, and click on "Next".
17. On the next screen, also just click on "Next".
18. Click again. "Next".
19. Do not change the recommended option on this screen, and click on "Next".
20. Do not change the option on this screen, and click on "Next".
21. Leave the previously selected option on this screen, and click on "Next".
22. Do not change the option configured in the installer, and click on "Next".
23. Also on this screen, do not change any options, and click on "Next".
24. Again, do not change the already selected option, and click on "Next".
25. On the next screen, leave the previously selected option and click on "Next".
26. Also leave the installer's default option selected, and click on "Next".
27. Finally, wait for the installation to complete and click on "Finish".
28. For Linux, return to the terminal and type the command:
sudo apt-get install gittype it "Y" ou "Yes" When prompted, wait for the installation to complete.
29 Don't MacOSInstalling Git is a bit simpler; you just need to open the Terminal (use the command). “Command + Spacebar” and type "Terminal" (in Spotlight search) and type the following command to install Git via Homebrew For installing packages and programs:
brew install gitAfter giving "Enter"Just wait for the Git installation to finish in the Terminal.
30. Finally, the last prerequisite you'll need to use OpenClaw is an API Key from an LLM. Basically, it's a unique and personal access key that will allow your machine to communicate with the AI agent's "thinking engine." To do this, create an account with an LLM service by accessing [link to LLM service]. OpenAI websiteFor example. If you prefer, you can use your other service accounts to speed up the registration process.
31. After creating your free account, access the platform's dashboard, go to the left sidebar menu and... “API Keys” and create a new key.
32. A new window will open and you just need to create a name for your new key. After choosing the name and clicking on "Create secret key"Once you have it, it will be available in your list of keys and you can copy it to use anywhere. Just remember to never share this key with other people!
Step-by-step installation guide for OpenClaw (Windows/Linux/macOS)
After correctly installing and configuring all the prerequisites, we can proceed with the installation of... OpenClaw on the machine. It's important to remember that, like the OpenClaw It will be used via Terminal with command lines; the installation process is basically the same for all three operating systems.
1. First, open the Terminal on your machine and type the following command (if you are using Linux or macOS) and press Enter. "Enter":
curl -fsSL https://openclaw.ai/install.sh | bash2. If you are using Windows, type this command in Terminal and press Enter. "Enter":
curl -fsSL https://openclaw.ai/install.cmd -o install.cmd && install.cmd && del install.cmd5. Wait for the installation to complete and a special OpenClaw settings screen should appear. Simply confirm that you accept the risks by selecting "Yes"Next, confirm the installation in "QuickStart" mode, which is recommended for quick setup.
Remember that API Key you configured in the prerequisites? You'll need it now to adjust which LLM will be used by... OpenClawOn the next screen, enter the API Key you created when choosing OpenAI as the "Model/auth provider," and OpenClaw is now ready to use!
After the installation and configuration of the OpenClawSimply open a Terminal (Windows/Linux/Mac) directly in the folder of OpenClaw on your machine (right-click anywhere in the folder and select "Open Terminal") and execute the following command:
python main.pyExamples of use
O OpenClaw It stands out for its ability to perform tasks that require multiple steps and real interaction with the system. In other words, it can perform them without human intervention after the initial command. With the Terminal open on your machine and the OpenClaw Once initialized, follow the detailed instructions below to set up the automation of some tasks.
Read, classify, and compose emails automatically.
1. Define the agent's behavior
Crie um perfil onde você:
- Lê novos e-mails
- Classifica como urgente, normal ou baixo
- Resume mensagens longas
- Sugere respostas educadas
Nunca envie nada sem minha confirmação.
Salve como perfil EmailAssistente.2. Activate the profile
Use o perfil EmailAssistente.3. Execute the task
Verifique minha caixa de entrada e sugira respostas.By allowing access to OpenClaw By using your email service (Gmail, for example), you can identify automatically generated reply emails after having the AI agent perform this task.
Organize computer files and folders.
Is your "Downloads" folder a mess? Sometimes, using the OS's built-in file and folder search system isn't as efficient as having an organized system where you know exactly where everything you need is located. Therefore, to save time and effort, you can configure... OpenClaw to automate this organization.
1. Create an organization profile.
Crie um perfil onde você:
- Analisa a pasta Downloads
- Move PDFs para Documentos
- Move imagens para Imagens
- Move vídeos para Vídeos
Nunca apague arquivos sem perguntar.
Salve como perfil Organizador.2. Activate profile
Use o perfil Organizador.3. Run
Organize minha pasta Downloads.In addition to organizing files and folders, you can also request other types of information about your system files from the... OpenClawFor example, how to list the files in a specific directory.
Automated search and report generation
O OpenClaw It also allows for the automation of web searches, cross-referencing of sources, and the generation of comprehensive reports. Need to research many sources or documents and don't have time to read everything and generate summaries or reports? No problem, OpenClaw can simplify all of that!
1. Create a search profile
Crie um perfil onde você:
- Pesquisa na web
- Resume fontes
- Gera relatórios em PDF
- Usa linguagem clara
Salve como perfil Pesquisador.2. Activate profile
Use o perfil Pesquisador.3. Run
Pesquise tendências de IA em 2026 e gere um relatório.And it's not just file-based reports that OpenClaw can generate, but even complete reports or documents with just a simple input like "create a script for a business meeting in the morning," and it will generate a complete report for you to edit and use as you wish.
Furthermore, it's also possible to configure the agent to open the browser, fill out forms, search for prices, collect website data, and save results. In this way, the OpenClaw It functions like a true "digital task robot".
If you still have any questions about how to configure OpenClaw to perform these and other tasks, check out this video with a detailed and complete tutorial on its features.
Observation: Since the video is in English, to watch it in Portuguese you can enable automatic dubbing or subtitles automatically generated by YouTube by clicking on the "gear" symbol in the lower right corner of the video.
Conclusion
O OpenClaw This represents a significant leap in the evolution of artificial intelligence: we are moving from systems that merely respond to systems that act. This advancement promises to revolutionize productivity, automation, and the personal use of computers, but it also demands new considerations regarding security and ethics.
We are entering an era where each person can have their own digital agent (and understanding how this works now is crucial).
Would you dare to run an autonomous agent on your computer? Do you think this type of AI should have stricter limits? Leave your opinion in the comments.
Learn more
reviewed by Tiago Rodrigues in 13 / 02 / 2026
Discover more about Showmetech
Sign up to receive our latest news via email.
