One place for your AI agent rules, skills, and context
AI context doesn't manage itself
Your AI agents are only as good as the context they get. But right now, most teams are copy-pasting config files between repos and hoping nothing falls through the cracks.
Scattered across repos
Your .claude files live in 20+ repositories. When you update one, the rest fall out of date. Inconsistency builds up quietly.
No history, no rollback
Who changed that rule last week? No idea. Something broke the AI output? Good luck figuring out what changed and where.
Manual updates don't scale
Every rule change means opening repo after repo. It takes hours, it's easy to miss one, and nobody enjoys doing it.
Inconsistent AI output
Same team, same standards, but your AI agent behaves differently depending on which repo it's working in. That's a trust problem.
Set it up once. It handles the rest.
Three steps to go from scattered config files to a centralized, version-controlled system.
Define your library
Create skills, rules, subagents, and MCPs in one central place. Write in Markdown or use structured forms. You can also generate items from your existing documentation using AI.
Connect your repos
Link your GitHub repositories. Veritos sets up the folder structure and tracks everything with a metadata lockfile, so nothing gets lost.
Changes sync automatically
When you update a rule or skill, Veritos opens pull requests in every connected repo. Review and merge them like any other code change.
What's included
A complete toolkit for managing AI context across your repositories, without the manual overhead.
Centralized library
Skills, rules, subagents, and MCPs all live in one place. Create, edit, and version them without touching individual repos.
Knowledge base
Upload your documentation, then generate library items from it using AI. Your coding rules and skills stay grounded in real docs, not memory.
Native GitHub integration
Every change ships as a pull request. A metadata lockfile tracks what's deployed where. You get a full audit trail without extra work.
Team and project hierarchy
Organize by organization, team, project, and repo. Permissions cascade down, so the right people control the right context.
Full version history
See who changed what and when. Roll back to any previous version if something goes wrong. No more guessing.
Works with multiple AI agents
Claude, Cursor, and more. Manage context for all your AI tools from one platform. New formats are added as they become available.
There's a better way to manage this
See what changes when you stop copy-pasting config files and start using a centralized system.
Manual approach
What most teams do today
- Copy .claude files between repos by hand
- Rules drift out of date across repositories
- No way to know who changed what, or roll back
- Context lives in one developer's head
- Hours spent on manual updates each week
With Veritos
How it works with a central library
- Library items sync to all repos via pull requests
- Single source of truth, every repo gets the latest version
- Full version history and audit trail for every item
- Centralized library with team-wide access controls
- Set it up once, updates propagate automatically
Useful for your whole engineering team
From setting coding standards to managing infrastructure, Veritos fits into how your team already works.
Engineering Leaders
Define coding standards in one place and know they're applied everywhere. When you update a rule, every repo gets it automatically, through a PR your team can review.
Senior Developers
No more AI agents giving outdated suggestions because someone forgot to update the config. Your context stays current across all projects, so the AI output is consistent.
Platform & DevOps Teams
Veritos uses GitHub PRs and a lockfile. After the initial setup, there's nothing to maintain. No new tools to learn, no extra processes to manage.
Tech Leads
Stop losing knowledge when people switch teams. Your best practices, skills, and coding patterns live in a central library that every repo can access.
Built by developers, for developers. We use Veritos to build Veritos.
Stop copy-pasting AI config files
Set up your library, connect your repos, and let Veritos handle the rest. Start with the free tier and scale when you need to.
Questions? hello@veritos.io