Objectives: Informal caregivers who recognize patients’ depressive symptoms can better support self-care and encourage patients to seek treatment. We examined patient-caregiver agreement among patients with heart failure (HF). Our objectives were to (1) identify distinct groups of HF patients and their out-of-home informal caregivers (CarePartners) based on their relationship and communication characteristics, and (2) compare how these groups agree on the patients’ depressive symptoms. Method: We used baseline data from a comparative effectiveness trial of a self-care support program for veterans with HF treated in outpatient clinics from 2009-2012. We used a cross-sectional design and latent class analysis (LCA) approach to identify distinct groups of patient-CarePartner dyads (n = 201) based on relationship and communication characteristics then evaluated agreement on patients’ depressive symptoms within these groups. Results: The LCA analysis identified four groups: Collaborative (n = 102 dyads, 51%), Avoidant (n = 33 dyads, 16%), Distant (n = 35 dyads, 17%), and Antagonistic (n = 31 dyads, 15%). Dyadic agreement on the patients’ depressive symptoms was highest in the Distant (Kappa (κ) = 0.44, r = 0.39) and Collaborative groups (κ = 0.19, r = 0.32), and relatively poor in the Avoidant (κ = –0.20, r = 0.17) and Antagonistic (κ =–0.01, r = 0.004) groups. Patients in Avoidant (61%) and Antagonistic groups (74%) more frequently had depression based on self-report than patients in Collaborative (46%) and Distant (34%) groups. Conclusion: Caregiver relationships in HF tend to be either Collaborative, Avoidant, Distant, or Antagonistic. Patients’ depressive symptoms may negatively affect how they communicate with their caregivers. At the same time, improved patient-caregiver communication could enhance dyadic consensus about the patient’s depressive symptoms.