Objective: Post-COVID 19 depression has gained much attention due to the increasing percentage of depressive symptoms reported by COVID-19 survivors. Among many factors postulated to be responsible for this depression, neuroinflammation gained the most attention. Therefore, in current work, we selected an anandamide reuptake inhibitor, VDM11, as a possible candidate for managing post-COVID depression. Methods: The role of VDM11 in attenuating neuroinflammation was established by using network pharmacology, molecular docking, and an in vivo LPS-induced depression model. Results: The results of network pharmacology revealed that among all the genes that can be targeted by VDM11, 47 genes were directly linked to the pathophysiology of depression. Additionally, on the basis of protein–protein interaction (PPI) analysis, the top 10 hub genes probably responsible for VDM11 antidepressant attribute were screened. These genes include MAPK3, TNF-α, IL-1β, IL-6, PPARG, MAPK1, CNR1, MTOR, NR3C1, and IGF1R. These genes were also enriched in GO and KEGG analysis. Molecular docking was carried out with top five hub genes screened by PPI network and KEGG analysis which showed that VDM11 interacts well with these targets. The antidepressant potential of VDM11 was also assessed by employing a LPS-induced depression model. Animals provided with VDM11 demonstrated increased exploration time and spontaneous alterations in elevated plus and Y maze models. Additionally, the level of astrocyte marker GFAP, microglia marker CD11b, and proinflammatory cytokines, including TNFα, IL-1β, and IL-6, in the hippocampus were significantly reduced by VDM11, further strengthening its role in neuroinflammation. Conclusion: VDM11, an anandamide reuptake inhibitor, might serve as a possible candidate for post-COVID depression, probably by modulating neuroinflammation. However, detailed pharmacological studies are required to validate these outcomes.