Build an AI team of specialists to handle content, sales, and research tasks
You can assign tasks to domain experts and receive results without complex AI configuration. A coordinator named Otto summons the necessary specialists, allocates work, reports on progress, and organizes final deliverables. This platform operates multiple AI models as a single team to automate repetitive tasks.
Task allocation with Otto
When you describe your current work to Otto, it automatically calls in the required specialists, such as content, sales, or secretarial roles. Each specialist performs specific tasks using apps linked to their pre-defined role. You can directly converse with a specific specialist to adjust details when needed, and all tasks are managed within a single chat window. This structure focuses on improving work efficiency through role-based teamwork rather than directly manipulating individual AI models.
Ready-made experts and custom roles
The platform includes ready-to-use expert profiles, such as an SEO content manager, sales representative, and secretary. You can directly modify each expert's instructions, context, skills, and connected apps to fit your own workflow. You can also create new experts based on existing ones or from scratch to add to your team. This flexibility allows you to build a custom AI team tailored to your organization's unique workflows, rather than relying on standardized AI tools.
Differences between hosting and self-hosting
AutoGPT is available in two ways: a paid hosting platform where AutoGPT manages the infrastructure, and self-hosting where you run the server yourself. The hosting platform requires no separate model API keys, and setup and operation are automated. In contrast, self-hosting runs via Docker containers on your own infrastructure, requiring you to manage model credentials and deployment settings directly. While self-hosting offers the advantage of direct control over data sovereignty and cost structures, updates and security management are your responsibility.
Workflow builder and integration features
A visual workflow builder is provided for repetitive tasks. Using this builder, you can connect blocks and set branching logic to define reusable task steps. You can import workflows shared by other users from the marketplace and modify them, or integrate with external tools used by your team to extend functionality. These features expand AutoGPT from a simple conversational AI into a tool for automating complex business processes.
License verification and pre-adoption checks
AutoGPT is divided into a platform part and a classic version, each applying different licenses. autogpt_platform/ uses the Polyform Shield license, which allows free personal and internal business use but prohibits selling it as a competing hosting service. classic/ and other parts allow free open-source use under the MIT license. Before adoption, you must verify that your intended use complies with the license terms and that you can meet the model API costs and infrastructure requirements needed for self-hosting. It is also recommended to review the current pricing plans and usage-based billing structure for the hosting service.
