Bring any agent. Keep one organizational memory.
Native Nowrox agents, ChatGPT, Claude, or anything MCP-compatible can work from the same shared context. Change the AI tool without fragmenting what your organization has already learned.
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Agents come and go. Your organization's context shouldn't.
An agent can research, discover relationships, complete work and create new work, but that understanding is easy to lose when it stays inside one temporary interaction. In Nowrox, people and authorized agents contribute to the same knowledge and execution state, so the next participant can continue from what was already learned.
Read the neighborhood
An agent starts from the people, projects, tasks and documents relevant to the work, instead of searching the whole workspace again.
Contribute back
What it learns and what it completes land in the same space the team uses, rather than in a transcript that closes with the session.
Stay inside permission
An agent acts within the space it was authorized for. A space is a tenant, so there is no path from one organization's context into another's.
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Stop making AI reread your organization.
Nowrox helps agents navigate the people, projects, tasks, decisions, dependencies and documentation relevant to the work, then retrieve deeper source content only when needed.
Find context faster
Start from the relevant organizational neighborhood instead of searching the whole workspace again.
Process less noise
Give agents the context they need without repeatedly passing unrelated information into a model.
Resolve structure directly
Ownership, dependencies, related work and open tasks are structure, and can be answered as structure rather than inferred from prose.
Give your team and agents a shared place to continue from.
Work happens once. The context stays useful for whoever works next.