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System Intelligence

3 articles · Page 1 of 1

Sep 9, 2026 · Artificial Intelligence

Graph Engineering Restructures Agent Systems: From Harness to Ontology

A 2026 survey paper introduces Graph Engineering as the next phase for LLM agents, shifting focus from individual model capabilities to system-level organization via explicit task DAGs, runtime state management with provenance and recovery, capability-based agent coordination, and a graph-native control plane that treats tasks, agents, and state as first-class system objects.

Agent CoordinationDAG SchedulingGraph Engineering

0 likes · 22 min read

Graph Engineering Restructures Agent Systems: From Harness to Ontology

DataFunTalk

Sep 7, 2026 · Artificial Intelligence

Graph Engineering Rebuilds Agent Systems: From Harness to System Intelligence

A 2026 survey paper introduces Graph Engineering as the system layer that organizes LLM agents into reliable multi-agent workflows through explicit DAGs, runtime state management, fault tolerance, and a control plane, shifting focus from individual agent capabilities to system-level engineering.

Agent CoordinationDAG SchedulingGraph Engineering

0 likes · 21 min read

Graph Engineering Rebuilds Agent Systems: From Harness to System Intelligence

DataFunTalk

Sep 2, 2026 · Operations

Why Smarter Data Platforms Are Harder to Operate and How Next‑Gen System Intelligence Solves It

As data platforms become increasingly intelligent, operational complexity rises due to heterogeneous workloads and finer‑grained configurations, but Tencent Cloud's TCInsight introduces system intelligence with specialized agents that automate selection, migration, usage and tuning, cutting migration time by 50%, reducing resource waste by 15% and shrinking fault‑diagnosis from hours to minutes.

AI AgentsCloud ComputingData Platform

0 likes · 11 min read

Why Smarter Data Platforms Are Harder to Operate and How Next‑Gen System Intelligence Solves It