Qontext

Founded by Nikita Kowalski

Maintain and sync structured company knowledge across AI agents and internal workflows

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Qontext to create a centralized, self-maintaining knowledge base that connects directly to your AI agents and internal tools. It organizes company data into structured files and folders while tracking version history and retrieval logs. Context agents keep information up to date across connected sources, requiring approval before applying changes. With built-in access controls, you can manage which people, coding agents, and external applications can view or edit specific records through an API, CLI, or the Model Context Protocol.

What Qontext does

Store structured company knowledge in folders and filesSync documentation across AI clients via Model Context ProtocolReview and approve suggested knowledge base updatesConfigure role-based access permissions for agents and usersInspect retrieval logs to audit agent activitySearch internal documents using hybrid search and terminal operationsCentralized repository storing company context as structured files and foldersModel Context Protocol integration to connect with compatible AI clientsContinuous automated updates with manual change review processesGranular permission controls for specific users, agents, and external toolsDetailed retrieval logs and version tracking across all context updatesCommand-line interface and standard terminal commands like grep, find, and ls