MaxHermes
Product information, use cases, and access for MaxHermes.
Pricing information
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What is MaxHermes?
MaxHermes is a general-purpose assistant for everyday information and creation tasks. It can answer search-oriented questions, interpret images, hold voice conversations, help write content, and analyze documents. It also supports work such as translation, programming, study, and office tasks.
The assistant supports collaboration between multiple AI agents for more involved requests. Its floating-ball interaction gives users a direct way to start a task without changing between many working surfaces. Students, professionals, independent workers, and creators can use it as a shared entry point for text, files, research, and conversation.
Key features of MaxHermes
Search and Answers
MaxHermes can respond to search-oriented questions and information requests through natural-language interaction. This makes it suitable for finding background information, answering knowledge questions, and organizing everyday research. Users can describe what they need conversationally instead of repeatedly filtering information across separate pages.
Image and Voice Interaction
The product combines image recognition with voice conversation. Users can discuss visual material or communicate through spoken exchanges, making the assistant useful when typing is inconvenient or when a request depends on information contained in an image. These interaction modes complement ordinary text input.
Document Analysis and Writing
MaxHermes supports document analysis and creative writing in the same conversational environment. It can help users understand file content, identify important information, and organize text according to a request. This is useful for document summaries, source comprehension, drafting, and developing creative ideas.
Multi-Agent Collaboration
The product supports MCP-based collaboration between multiple AI agents. Several agents can contribute to a complex request by taking part in information handling, content organization, or other parts of the work. This structure is useful when a task contains multiple connected stages rather than a single question.