CultivAgents: Cultivating Relationship-Centered Multi-Agent Systems for Personalized Gardening
arXiv:2605.23193v1 Announce Type: cross Abstract: 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
The proliferation of advanced AI models and the increasing demand for personalized, context-aware digital assistance are converging, making multi-agent systems a viable solution for complex, nuanced problems like personalized gardening.
This development signals a move towards highly specialized and relational AI agents that can adapt to individual user contexts, moving beyond generic advice to provide nuanced, socio-culturally grounded support.
Digital tools will shift from providing static, generalized information to dynamic, adaptive, and context-aware guidance through coordinating specialized AI agents, improving efficacy and user experience in complex domains.
- · AI agent developers
- · Smart home/garden technology companies
- · Consumers seeking personalized digital assistance
- · Ethical AI frameworks
- · Generic gardening apps
- · One-size-fits-all digital solutions
Increased user engagement and satisfaction with digital tools due to highly personalized and relevant advice.
Expansion of multi-agent systems into other complex domains requiring personalized, context-sensitive support, such as education or healthcare.
Enhanced human-AI collaboration leading to new forms of knowledge sharing and skill development, possibly integrating AI as a co-learner rather than just an advisor.
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