For Teams

N developers. N versions of the truth. Fix that.

Everyone on your team taught their AI something. Nobody can share it. Contextium is the shared context layer: teach it once, and every teammate's AI — whatever tool they run — arrives already briefed.

Where team AI breaks down

Without shared context

  • Each developer maintains their own CLAUDE.md, rules files, and instructions
  • The same knowledge lives in four formats across ten repos
  • Convention drift: tools give different answers about the same codebase
  • New joiners inherit none of what the team’s AIs have learned
  • Every improvement one person makes stays with that person

With Contextium

  • One workspace holds the team’s architecture, conventions, and decisions
  • Every AI tool loads it over MCP — Claude, Cursor, Copilot, Gemini
  • Update once; every teammate’s next session reflects it
  • New joiners connect their tools and start briefed on day one
  • Versioned with an event log — governed, auditable, reversible

Built for how teams actually work

Update once, propagate everywhere

Change a convention and every teammate’s AI reflects it in their next session — no announcements, no stale copies.

Project continuity

Workflows, phases, and tasks live in the workspace. Any teammate’s AI can pick up where the team left off.

Versioned and auditable

Every change carries history: who changed what, visual diffs, one-click rollback, and an event log.

Any tool, any vendor

MCP-native means mixed toolchains stay consistent — and switching vendors never strands your context.

Roles and permissions

Owner, admin, editor, viewer, and guest roles per workspace gate who can see and change the team’s truth.

Security your reviewers will ask about

Encryption at rest, audit logging, and honest compliance status — documented on our security page.

Frequently asked questions

What problem does Contextium solve for engineering teams?

Context collapse and convention drift: five developers, five AI setups, five versions of the truth. Contextium gives the team one shared, versioned context that every AI tool loads over MCP — update once and every teammate’s next session reflects it.

Does the whole team need to use the same AI tools?

No — that’s the point. Contextium is vendor-neutral: teammates on Claude Code, Cursor, Copilot, and Gemini all load the same context. Mixed toolchains stay consistent.

How does team onboarding work?

Invite teammates to the workspace; each connects their tools with one setup command. From their first session, their AI knows the architecture, the conventions, and where every project left off.

How is team context governed?

Workspace roles (owner, admin, editor, viewer, guest) control who can change what. Every edit is versioned with an event log — see who changed what, compare versions, roll back.

Bring the team onto one truth

Free for individuals — bring the team when you hit the "my teammate needs this context" moment.