Engineering memory
How Skaftor's knowledge graph turns your organisation's intent, decisions, and code into durable, queryable memory for humans and agents.
Engineering memory is your organisation's persistent, queryable record of how and why its software was built. In Skaftor it's a knowledge graph connecting PRDs, requirements, designs, work orders, pull requests, deployments, feedback and people.
Why it exists
Most engineering context lives in people's heads and stale docs. When someone leaves or an agent starts cold, that context is gone and the software gets harder to change. Engineering memory makes context a durable asset instead of a perishable one.
How it's built
Skaftor writes a graph edge for every cross-entity link as work happens, and indexes every repository in a project, so the memory comes from real artifacts rather than being maintained by hand.
What it powers
- The execution manifest — self-serve context for humans and agents.
- Blast radius — traverse the dependents of a change.
- Traceability — follow a requirement to the commit and deployment that shipped it.
- Drift detection — the Drift Inbox flags shipped code that stops matching its spec.
- Designs grounded in your code — the design agent reads the repository before it writes.