The single, up-to-date place that holds everything a company knows and makes it usable to every AI agent.

Access controls set who can read or edit files and folders in the context repository, for both workspace members and API keys.

Native connectors link Qontext to external tools like HubSpot or Google Drive and keep their data continuously synced into the context repository.

Member settings control workspace roles and who can invite, remove, or manage other members and shared resources.

Context agents create, edit, and synthesize files in the context repository through conversational prompts, using the same access as the person prompting them.

Retrieval logs record which context a client or file retrieval touched, so teams can trace an agent's output back to the files behind it.

A sync is the process that keeps a connected data source's data up to date inside the context repository, on a schedule or a manual trigger.

Change review holds edits to protected files for approval before they apply, keeping sensitive files under human control.

Continuous updates keep the context repository current on their own as connected sources change, without a manual refresh.

A workspace is the container that holds one context repository along with its members, sources, and clients.

User permissions set what a workspace member can do overall through their role, and what they can reach in specific files through repository-level access.

Source instructions are directions a workspace attaches to a connected data source to guide how Qontext treats what comes from it.

Client instructions are directions a workspace attaches to a connected client to guide how it can use the context repository.

Change reconciliation is how Qontext applies automated changes to a file without requiring a person to review each one.

A context window is the fixed number of tokens a model can read and write in a single request, its temporary working memory.

A single source of truth is the place an organization treats as authoritative for any information.

An AI-native company builds its operations around AI agents from the start, instead of adding AI tools on top of an existing setup.

Context rot is the gradual decline in a model's reliability on information as more tokens fill its context window.

A hallucination is a confident, fabricated answer a model produces and states as fact, even though it isn't true.

Role-based access control grants permissions based on a role a person holds, rather than assigning access to each person individually.

Human in the loop means a person reviews, approves, or corrects an AI system's output at some point before it takes effect.