NexusOps
An autonomous multi-agent incident response system built on FalkorDB's multi-graph architecture, used for fault triage and remediation in production distributed systems.
Timeline (last 90 days)
NexusOps is an autonomous multi-agent incident commander built for FalkorDB Graph Hacks 2026, using a low-latency multi-graph architecture
NexusOps uses two graphs: Company Brain (nexus_company_brain) stores the enterprise topology (microservices, caches, databases, git commits, runbooks, engineers), and Episodic Incident Memory (nexus_incident_memory) stores historical incidents, symptoms, and remediation playbooks
NexusOps contains four agents: the Sentinel Triage Agent (blast radius calculation), the Root-Cause Investigator (shortest-path evidence chains), the Remediation & Comms Agent (matching remediation playbooks and drafting notifications), and the Memory Coordinator (writing back to memory after resolution)
The author of NexusOps reports these FalkorDB benchmark figures: 0.16 ms for multi-hop blast radius traversal, 0.07 ms for PageRank single-point-of-failure analysis, and 0.06 ms for incident attribution queries
NexusOps's core design principle is not letting the LLM hand-write raw Cypher, but calling through a schema-validated, parameterized graph tool layer, thereby guaranteeing zero query injection, no syntax errors, and deterministic evidence paths
Storing the architecture topology graph and the incident memory graph separately avoids polluting the graph structure with historical events, while shared service identifiers preserve cross-graph query capability
The point of storing the topology graph and the incident memory graph separately is that they differ in write frequency and lifecycle: the topology graph evolves slowly with deployments, while incident memory is appended on each failure; mixing the two would dilute the signal-to-noise ratio of path queries
NexusOps uses native PageRank and shortest-path algorithms to replace hundreds of lines of fragile hard-coded routing logic; graph algorithms adapt automatically as topology changes, whereas rule-driven code rots as the system evolves
NexusOps is currently a hackathon project, and its benchmark data comes from the author's own testing, lacking controlled experiments against vector retrieval baselines or commercial AIOps platforms; the failure modes of four-agent collaboration and the migration costs of graph schema evolution have not been validated under real production loads
NexusOps's code is open-sourced on GitHub (repository name praiseadesina2-stack/NexusOps) and can be run locally to reproduce
All Facts (10)
NexusOps is an autonomous multi-agent incident commander built for FalkorDB Graph Hacks 2026, using a low-latency multi-graph architecture
50%UnverifiedNexusOps uses two graphs: Company Brain (nexus_company_brain) stores the enterprise topology (microservices, caches, databases, git commits, runbooks, engineers), and Episodic Incident Memory (nexus_incident_memory) stores historical incidents, symptoms, and remediation playbooks
50%UnverifiedNexusOps contains four agents: the Sentinel Triage Agent (blast radius calculation), the Root-Cause Investigator (shortest-path evidence chains), the Remediation & Comms Agent (matching remediation playbooks and drafting notifications), and the Memory Coordinator (writing back to memory after resolution)
50%UnverifiedThe author of NexusOps reports these FalkorDB benchmark figures: 0.16 ms for multi-hop blast radius traversal, 0.07 ms for PageRank single-point-of-failure analysis, and 0.06 ms for incident attribution queries
50%UnverifiedNexusOps's core design principle is not letting the LLM hand-write raw Cypher, but calling through a schema-validated, parameterized graph tool layer, thereby guaranteeing zero query injection, no syntax errors, and deterministic evidence paths
50%UnverifiedStoring the architecture topology graph and the incident memory graph separately avoids polluting the graph structure with historical events, while shared service identifiers preserve cross-graph query capability
50%UnverifiedThe point of storing the topology graph and the incident memory graph separately is that they differ in write frequency and lifecycle: the topology graph evolves slowly with deployments, while incident memory is appended on each failure; mixing the two would dilute the signal-to-noise ratio of path queries
50%UnverifiedNexusOps uses native PageRank and shortest-path algorithms to replace hundreds of lines of fragile hard-coded routing logic; graph algorithms adapt automatically as topology changes, whereas rule-driven code rots as the system evolves
50%UnverifiedNexusOps is currently a hackathon project, and its benchmark data comes from the author's own testing, lacking controlled experiments against vector retrieval baselines or commercial AIOps platforms; the failure modes of four-agent collaboration and the migration costs of graph schema evolution have not been validated under real production loads
50%UnverifiedNexusOps's code is open-sourced on GitHub (repository name praiseadesina2-stack/NexusOps) and can be run locally to reproduce
50%