Centralize context, rules, and agents for AI coding workflows. Manage reusable AI resources (sub-agents, skills, MCPs, rules) in a unified library, then inject them as versioned files into multiple repositories. Keep teams aligned with organization hierarchies, permission-based access, and a Knowledge Base that feeds your AI context. Built for teams scaling AI-assisted development across projects.

AppSignal — Track your app’s health, errors and performance with ease

Track your app’s health, errors and performance with ease

Hey Product Hunt! We're Julian and Max from Jumax, a dev agency in Vienna. We built Veritos because we were drowning in the same problem our clients faced. We had 15+ repos across different teams, and keeping AI context consistent was a nightmare. One repo had the latest Claude rules, another was 3 versions behind. We'd copy .claude folders around, forget to update things, and every developer's setup was slightly different. So we built the tool we wished existed: a central hub to manage AI agent context with proper versioning and GitHub sync through PRs—no magic, just the workflow teams already use. Would love your take: how are you managing AI context across repos today? Still copying folders around? Using some clever git submodules trick? Something else entirely? Let us know what's working (and what isn't) 🙌

AppSignal — Track your app’s health, errors and performance with ease

Track your app’s health, errors and performance with ease

Veritos

Centralized code intelligence for your whole team

Centralized code intelligence for your whole team