One source of truth
Policies, memory, project state, and decisions stay in one governed system.
Shared organizational context for AI
One context. Every agent.
Shared memory, policy, and continuity for every AI agent.
Your organization’s context lives in one controlled system, and every AI client—Claude, Codex, ChatGPT, Gemini, local models, and future agents—loads, verifies, and updates that same context.
Context Graph
Product conceptA concept for shared context across AI clients
ContextOSControlled context layerShared by design
CClaudeAI agent
✦GeminiAI agent
</>CodexAI agent
▣Local modelsOn-premise
●ChatGPTAI agent
•••Future agentsAnd beyond
Every agent stays aligned
Clients load verified context before work and write back updates after work.
Vendor-neutral by design
Use today’s AI tools and adopt tomorrow’s without rebuilding your operating model.
A shared operating model
How ContextOS works
Load context
Agents request the right context for the task from ContextOS.
Verify policy
ContextOS verifies identity, permissions, and policy before releasing context.
Work across agents
Agents work with shared context across tools, models, and environments.
Update continuity
Results, decisions, and state changes are written back to keep everyone in sync.
Controlled by design
The core promise is simple
ContextOS gives your organization a controlled context layer so every AI system can work with the same memory, the same rules, and the same continuity.
Start with ContextOS→Ready when your agents are