Intel / article

OpenAgentFlow: Enabling System-Wide Safety Boundaries for Heterogeneous AI Agent Fleets

Source: arxiv.org
Author: Dongsheng Chen, Xiangyu Zhao, Xin Yao, Xuetao Wei
Date: Published Sep 2, 2026

Context

OpenAgentFlow puts a shared policy check immediately before agents change an environment. It converts pending interface actions, API requests and tool calls into a common event format, then checks each event before execution. Session history and audit records sit alongside the rules, allowing decisions to account for an action’s .

This design lets rules change without modifying every participating . In the authors’ Android implementation, a 30-case policy-update test produced the expected behavior in 27 cases after new rules were installed. That is evidence for a common enforcement mechanism in the tested setting, with some cases still unresolved.

Terms in this piece · Glossary

context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.

Read the source arxiv.org