AgentFlow uses a typed graph DSL covering roles, prompts, tools, topology and protocol plus a runtime-signal feedback loop to optimize multi-agent harnesses, reaching 84.3% on TerminalBench-2 and discovering ten new zero-days in Chrome including two critical sandbox escapes.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
AdecPilot decentralizes administration in edge-cloud multi-agent frameworks by using a UI-agnostic cloud designer and a bimodal edge team with a Hierarchical Implicit Termination protocol, yielding 21.7% higher task success, 37.5% less cloud tokens, and 88.9% lower latency.
citing papers explorer
-
Synthesizing Multi-Agent Harnesses for Vulnerability Discovery
AgentFlow uses a typed graph DSL covering roles, prompts, tools, topology and protocol plus a runtime-signal feedback loop to optimize multi-agent harnesses, reaching 84.3% on TerminalBench-2 and discovering ten new zero-days in Chrome including two critical sandbox escapes.
-
Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
AdecPilot decentralizes administration in edge-cloud multi-agent frameworks by using a UI-agnostic cloud designer and a bimodal edge team with a Hierarchical Implicit Termination protocol, yielding 21.7% higher task success, 37.5% less cloud tokens, and 88.9% lower latency.