# Group Functionality Frame Agents are primarily designed for private, one-on-one conversations where they can securely access your personal wallet and execute transactions. However, they can also operate in group chat environments with important limitations and security considerations. When added to a group, Frame Agents function in a read-only mode that prioritizes information sharing over transaction execution. {% hint style="info" %} You must invite your agent and set it to administrator of the group. {% endhint %} In group settings, Frame Agents can provide valuable market data, token information, portfolio analysis, and general blockchain education without accessing any individual's private wallet or transaction capabilities. This means group members can ask questions about gas prices, token prices, market trends, or DeFi protocols and receive helpful responses, but the agent cannot execute trades, check personal balances, or access wallet functions. This design ensures that sensitive financial information remains private while still allowing the community to benefit from the agent's knowledge and analytical capabilities. The group functionality is ideal for educational discussions, market analysis sharing, and community engagement around cryptocurrency topics. Team members can collaborate on research, discuss trading strategies, and get real-time market insights without compromising individual security or privacy. For any personal wallet operations or private financial discussions, users should always interact with their Frame Agent in direct private messages where full functionality and security measures are properly maintained. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.framebot.dev/using-frame/group-functionality.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.