flomo Agent

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1. Oct 22
   A Note-Based Workflow for Personalized Agent Recommendations

   A workflow shared by a flomo Agent user asks a memory-enabled agent to select exactly three items each day to read, watch or listen to in Chinese. The first two should address the user’s current concerns based on recent conversations without repeatedly staying on one topic, while the third should broaden exposure to areas such as art, design, games, music, humanities, nature and practical disciplines. Each recommendation should include a title, a verified original link, a brief description and why it is worth the user’s attention. The workflow also calls for checking accessible recent recommendations and conversations, avoiding content the user has explicitly read, distinguishing source findings from personal interpretation, and disclosing access limitations. The author says they have used it in flomo Agent with good results and that it can be used by memory-enabled agents such as grokbot or dot.

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