Mentingo is an open-source learning management system where employees practice real workplace conversations with an AI mentor instead of only clicking through slides. The voice and chat mentor plays a customer, candidate, or colleague in role-play scenarios, asks follow-up questions, and returns scored feedback on how the conversation actually went. You can generate a course draft from your own documents, presentations, and procedures, then edit the structure and lessons instead of starting from a blank page. Learners work through a course catalog and distraction-free lessons, while quizzes, scenario questions, and long-form answers check understanding beyond simple recall. Compliance and safety courses can expire on a schedule, with automatic re-enrolment, reminders, and certificate validity tracking keeping renewals from slipping. Administrators organize people by departments, branches, and teams, inherit course access from group membership, and follow engagement and completion analytics per learner, group, and course. A knowledge base, company blog, announcements, and FAQ keep supporting material beside the training itself. Multiple organizations can share one deployment with separate domains and branding, and courses can be exported as SCORM packages for other tools. Integrations include Microsoft 365, Google Workspace, and Slack sign-in, plus an MCP endpoint for AI assistants. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Aural runs the interview for you: describe the role in plain language, share one link, and its AI conducts the whole conversation with each candidate. The generator turns your brief into a complete interview with questions, assessment criteria, and recommended settings, or you build the flow yourself in the editor. Candidates join by chat, voice, or video, and the interviewer adapts in real time, adjusting follow-up depth, tone, and direction as answers develop. Technical rounds run inside the session with a full code editor for live programming questions and a whiteboard for sketching designs. Anti-cheating controls watch for tab switches, blocked external paste, and extra monitors, logging every event into a per-session integrity report. When the session ends, an AI report scores each question, pulls highlights, and names the areas to improve. Teams manage organizations, projects, and role-based access, invite candidates individually, in spreadsheet batches, or by parsing uploaded resumes, and rehearse with a practice mode that gives spoken feedback after every answer. Interviews speak English and Chinese, and the platform connects to the language model provider you already use. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.