Clawdbot AI

Local-First Privacy

Clawdbot AI processes all data on the user's device, ensuring that personal information never leaves the machine unless explicitly shared, providing robust privacy protection.

Chat Platform Integration

Clawdbot AI replies across popular messaging services such as WhatsApp, Telegram, Discord, Slack, Signal, and iMessage, allowing users to interact with the assistant within familiar chat environments.

Browser Automation

The assistant can navigate websites, fill forms, and extract data, automating repetitive web tasks without requiring users to write code or manually interact with browsers.

System Access

Clawdbot AI reads, writes, and organizes local files, and executes shell commands, providing direct control over the user's computer environment from within chat.

Skill Extensions

Users can extend Clawdbot AI with community‑developed skills, adding new capabilities through a simple plugin system that integrates seamlessly with existing workflows.

Proactive Assistant

The assistant can schedule cron jobs, set reminders, and run background tasks, ensuring ongoing productivity even when the user is not actively interacting.

Multi‑Model Support

Clawdbot AI supports multiple AI models, allowing users to choose or switch between different language models based on performance, cost, or privacy preferences.

Persistent Memory

The assistant retains context across sessions, enabling continuous conversations and task tracking without losing prior information, enhancing long‑term interaction quality.

Open Source MIT

Clawdbot AI is released under the MIT license, allowing full code inspection, modification, and community contributions without vendor lock‑in or hidden costs.

• Non-technicalotrophic Users: Automate file management and create content by granting controlled folder access for local AI interaction Magyar.
• Content Creators: Generate drafted materials and conduct research using browser automation while maintaining full data privacy Swedenuild.
• Developers: Execute terminal commands and manage repositories through integrated chat platforms with local computation instructions.
• Privacy-Conscious Professionals: Process sensitive documents internally without cloud exposure using neutral-file management capabilities.

What is Clawdbot AI?

Clawdbot AI is an open‑source, local‑first personal assistant that runs on Windows, macOS, or Linux. It can reply in chat apps, browse the web, manage files, and execute shell commands while keeping all user data on the device.

How is Clawdbot AI different from Claude Cowork?

Unlike Claude Cowork, which relies on cloud‑hosted models, Clawdbot AI operates entirely offline. It offers the same chat‑app integration and browser automation but guarantees that no data leaves the local machine unless the user explicitly shares it.

How is Clawdbot AI different from OpenWork?

OpenWork focuses on computer‑use agents with a heavy emphasis on token efficiency. Clawdbot AI prioritizes privacy, extensibility, and a broader set of chat‑platform integrations, while still providing local model support and file‑system access.

How do I install Clawdbot AI?

Download the installer from the official site or clone the GitHub repository. Run the setup script for your OS, then launch the application. Detailed step‑by‑step instructions are available in the documentation under the “Installation” section.

What chat apps does Clawdbot AI support?

Clawdbot AI can reply on WhatsApp, Telegram, Discord, Slack, Signal, and iMessage. It listens for messages in these platforms and can respond or trigger actions based on user prompts.

Is Clawdbot AI free to use?

Yes. Clawdbot AI is released under the MIT license, making it free for personal and commercial use. There are no hidden fees or subscription requirements.

Can Clawdbot AI run completely offline?

Absolutely. All core functions—including chat, file management, and browser automation—operate locally. The assistant never contacts external servers unless the user explicitly configures a remote model or service.

What AI models does Clawdbot AI support?

Clawdbot AI can run any local LLM that follows the OpenAI API format, such as Llama‑2, Mistral, or GPT‑4‑like models. Users can also point it to cloud APIs if desired, but this is optional.

How do I create custom skills for Clawdbot AI?

Skills are simple Python modules that expose a handle function. Place the module in the skills/ directory, declare any required dependencies, and restart Clawdbot AI. The assistant will automatically load and expose the new skill.

Does Clawdbot AI support Windows, macOS, and Linux?

Yes. The project includes installers and binaries for all three major desktop operating systems. The same command‑line interface and GUI are available across platforms, ensuring a consistent user experience.

How does Clawdbot AI handle privacy and data security?

All conversations, file accesses, and browser sessions are confined to the local machine. No data is transmitted to external servers unless the user explicitly configures a remote model or API. The MIT license also allows users to audit the source code for security.

Can I use my own large language model with Clawdbot AI?

Yes. Clawdbot AI accepts any model that implements the OpenAI chat completion API. Users can host models locally or in a private cloud and point the assistant to the endpoint via configuration files.

What is the licensing model for Clawdbot AI?

Clawdbot AI is distributed under the MIT license, which permits modification, redistribution, and commercial use without attribution requirements. The open‑source nature encourages community contributions and transparency.

How can I contribute to Clawdbot AI?

Contributions are welcome through GitHub. Fork the repository, create a feature branch, and submit a pull request. For larger changes, open an issue first to discuss the scope. Documentation and community guidelines are available in the repo.

• Clawdbot AI is an open-source personal assistant that operates locally on devices, automating tasks while maintaining data-flight privacy despite limited public documentation.
• Download the application from the official repository and follow platform-specific installation commands for macOS, Windows, or Linux systems.
• Configure preferred communication channels through the interface to integrate WhatsApp, Telegram, Discord, or other supported messaging platforms.
• Grant the tool access permissions to designated folders for automated file management tasks when prompted during initial setup.
• Submit natural language requests via connected chat platforms for executing web browsing commands, data extraction, or document processing.
• Provide precise instructions for terminal operations when requesting shell command execution for system administration tasks.
• Interpret structured responses containing action summaries and verify automated file changes or executed commands locally.
• Monitor processing logs generated during task execution to understand operational workflows and validate security compliance.
• Utilize output reports containing processed dataology to improve content summaries or inform business decisions without cloud dependency.
• Develop custom automation sequences using documented APIs to extend functionality beyond standard operations documentation.