Blast Radius uses a graph database to help AI agents triage service outages

During a late-night outage, engineers must determine which failing service is the root cause, what changed recently, and who to contact, but that information is scattered across service dependencies. The Blast Radius project addresses this with a team of AI on-call agents that store topology, ownership, change history, and incident memory in a FalkorDB graph. Queries that would require recursive SQL or multiple round trips can be expressed concisely in Cypher, with each organisation's data kept in its own graph. The ranking logic for suspect components weighs how many alerting services depend on them, whether they are alerting themselves, and how recently they changed. The design also stores agent state and evidence as graph edges, so findings link directly to the data that supports them.