Gardening is critical to support well-being, cultural continuity, and food autonomy, yet existing digital tools often provide generic advice that overlooks gardeners' skills, local ecologies, seasons, and cultural contexts. We introduce CultivAgents, a relationship-centered multi-agent system for personalized, socio-culturally grounded gardening support. Grounded in ethics of care, CultivAgents coordinates multiple specialized agents: an Experience Agent that adapts guidance to users' skill levels, an Environmental Agent that grounds advice in local and seasonal conditions, and an Ethnobotanical Agent that connects plants to cultural knowledge and histories. We evaluated CultivAgents through a three-phase mixed-methods study with domain experts (n=3), HCI researchers (n=7), and community gardeners (n=5), analyzing expert feedback, pre/post surveys, and participatory design activities. Results suggest that CultivAgents helped gardeners translate interest into situated action: community gardeners reported increased confidence (3.00 to 3.60), motivation (4.00 to 4.40), and trust in acting on AI advice (3.20 to 4.00). Participants valued hyperlocal ecological guidance and complementary agent perspectives, while also identifying limits in cultural specificity, ecological grounding, and agent coordination. The work advances relationship-centered AI, offering design implications for multi-agent systems that support food sovereignty, community resilience, and cultural preservation.

翻译：园艺对于维持健康福祉、文化传承和粮食自主至关重要，然而现有数字工具往往提供通用建议，忽视了园艺者的技能、本地生态、季节和文化背景。我们提出CultivAgents，这是一种以关系为中心的多智能体系统，用于提供个性化、根植于社会文化的园艺支持。基于关怀伦理学，CultivAgents协调多个专门化智能体：经验智能体根据用户技能水平调整指导，环境智能体基于本地和季节性条件提出建议，民族植物学智能体将植物与文化知识和历史联系起来。我们通过三阶段混合方法研究对CultivAgents进行了评估，参与者包括领域专家（n=3）、人机交互研究人员（n=7）和社区园艺者（n=5），分析了专家反馈、前后测调查和参与式设计活动。结果表明，CultivAgents帮助园艺者将兴趣转化为情境化行动：社区园艺者的信心（3.00升至3.60）、动机（4.00升至4.40）以及对采纳AI建议的信任度（3.20升至4.00）均有提升。参与者高度评价了超本地生态指导和互补智能体视角，同时也指出了在文化特异性、生态根基和智能体协调方面的局限性。该研究推进了以关系为中心的AI发展，为支持粮食主权、社区韧性和文化保护的多智能体系统提供了设计启示。