Knowledge management
Knowledge management is the practice of capturing, organizing, and sharing an organization's knowledge so people can find and reuse it.
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What is knowledge management?
Knowledge management is the practice of capturing what an organization knows, its documents, decisions, and expertise, and organizing it so people can find and reuse it instead of rebuilding it from scratch. It usually distinguishes explicit knowledge, already written down in a document or wiki, from tacit knowledge, the kind that lives in people's heads and only surfaces when you ask them directly.
This solves a real cost: without it, the same question gets answered from memory every time, the same mistake repeats because no one wrote down learnings, and someone who leaves takes their knowledge with them.
How does knowledge management differ from a context layer?
Knowledge management was built around a human reader: a wiki page, an intranet folder, a shared drive, organized so a person could search and understand what they found. A context layer is built around an AI agent as the reader: the same underlying idea, organized company knowledge, but structured, versioned, and permission-aware in a form an agent can query directly and act on, not just read.
That difference shows in how each stays current. Knowledge management systems rely on manual updates after something changes, which is why most decay within a year or two of being built. A context layer applies continuous updates automatically, so it doesn't depend on a person remembering to go back and edit a page.
How does knowledge management work?
In practice, knowledge management runs as a cycle: capture what people know, organize it into a structure people can navigate, store it somewhere searchable, and encourage people to contribute back and keep it updated. Most of the work sits in that last step, since capturing knowledge once is easy and keeping people returning to update it is where these systems tend to break down.
Qontext's context repository automates that last step for AI agents specifically: change reviews and continuous updates keep company knowledge current without relying on someone remembering to maintain a wiki page by hand.