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Graph-native AML (Anti-money Laundering) investigation agents: an Investigator and a Reporter that never talk to each other, only through a FalkorDB graph. Every claim is cited back to exact transaction, account and device nodes.
AI agents that find money-laundering rings no single bank can see, on FalkorDB: one graph per bank, a consortium graph, echo-proof evidence, signed reports and a hosted MCP server.
On-call agent that won't blame your deploy without proof. A FalkorDB graph, 4 agents and 8 evidence checks find what really broke production. 81% top-1 on all 360 RCAEval failures. Demo video: https://youtu.be/arIp5REAKmw · Graph Hacks 2026
Relay: shared, time-aware graph memory for teams of AI agents, built on FalkorDB. The agents never message each other, yet never contradict each other. Live demo: WiFight, an AI ISP support desk. Graph Hacks 2026 · Track 02: Agent Memory & Coordination
A company brain for an open-source repo on one temporal FalkorDB graph: who knows what, why code is the way it is, what leaves with a departing maintainer, and what-ifs on GRAPH.COPY forks.
A Company Brain on FalkorDB: reads docs, tickets and chat into a provenance graph and answers who owns, who knows and why, with quoted sources, or refuses to guess. Graph Hacks 2026, Company Brain track.
BlastRadius: an AI agent that finds the fixes that cut real attack paths in a FalkorDB graph, and acts on them within graph-decided limits. Graph Hacks (WeMakeDevs x FalkorDB) Track 1.
Ask why a decision was made: a FalkorDB company brain over the IETF TLS working group's public record. Every answer is a graph path to a public link. Graph Hacks 2026, Track 03.
Find the last lift before it fails. Every MBTA station's step-free routes as a flow network in FalkorDB: certified max-flow redundancy, live lift closures, what-ifs and step-free reroutes, served to AI agents over MCP. Unofficial; open data.