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.
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Maker
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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) 🙌