OpenRecovery is revolutionizing addiction recovery through its AI-powered assistant, which offers personalized, around-the-clock support via text and voice, bridging the gap between expensive inpatient care and generic self-help programs. Utilizing LangGraph and LangSmith tools, the OpenRecovery team has created a sophisticated mobile application that adapts to users' recovery journeys through a multi-agent architecture on the LangGraph Platform. This system allows seamless transitions between recovery tasks and provides scalability as new agents are added for diverse stages and mental health support. The platform's robust infrastructure supports rapid iteration, allowing the team to refine interactions and integrate new recovery methodologies. OpenRecovery incorporates human-in-the-loop features to enhance trust and accuracy, encouraging user introspection and allowing feedback and control over personal data. LangSmith adds robustness to development, enabling collaborative prompt engineering and continuous improvement by identifying failure points and integrating human empathy where the AI model falls short. As OpenRecovery expands its offerings with new modalities like voice interactions, it aims to provide expert-level addiction recovery guidance, with a beta version available for early access.