

Hive Chat
Overview :
HiveChat is an AI chat application specially designed for small and medium-sized teams, supporting multi-user mode and permission management, making it convenient for teams to efficiently utilize AI technology during collaboration. The product supports integration with multiple large models, with flexible user management and Token limit configuration, suitable for enterprise, school, and organizational scenarios. It is positioned as a tool to enhance team communication efficiency, providing multiple login methods and data storage solutions to help users better leverage AI to assist their work.
Target Users :
HiveChat is suitable for small and medium-sized teams, enterprises, and educational institutions. It can effectively improve team communication efficiency and facilitate the use of AI technology to assist daily work. It is ideal for organizations that need multi-user collaboration and permission management, especially teams that want to leverage the latest AI models to boost work efficiency.
Use Cases
Small and medium-sized enterprises improve internal communication efficiency through HiveChat.
Educational institutions use HiveChat to support student team project collaborations.
Technical teams share and discuss AI technical documents within HiveChat.
Features
Supports multi-user mode, facilitating team collaboration and communication.
Administrators can configure multiple AI models, including Open AI and Claude.
Group management function allows setting model permissions and Token limits for different groups.
Supports third-party login methods, such as WeCom (Enterprise WeChat) and DingTalk.
Can configure MCP servers to meet specific corporate needs.
Provides cloud data storage to ensure information security and accessibility.
Supports LaTeX and Markdown rendering, suitable for technical document processing.
Includes image understanding and AI agent functions to enrich interaction experiences.
How to Use
Access the HiveChat user-end website.
Click to register an account or log in with a third-party account.
Enter the chat interface and select the appropriate AI model for conversation.
Use corresponding functions and models based on group permissions.
Administrators can configure user and model permissions in the management console.
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