安全与隐私

Company Brain scopes team-agent memory by room and user permissions, with personal authorization, traceable sources, and separate tool-write access.

拆解 Company Brain 的团队记忆与权限设计，重点看个人授权、共享知识、可追溯来源和团队 Agent 的权限边界。

从 Codex 网络策略更新出发，解释 HTTP 重定向、长响应与 WebSocket 为什么需要可撤销许可，以及工具权限和网络权限为什么必须分层。

Codex network policy changes explain revocable permits for redirects, long responses, and WebSockets, and why tool and network permissions need separate layers.

Seven updates on token efficiency, Codex networking, Copilot Memory, local agent server security, self-practice, skills, and reproducibility.

7 条 AI Agent 工程更新，覆盖长任务 Token 优化、Codex 网络策略、Copilot Memory、本地 Agent Server 安全和 Self-Practice。

GitHub Agentic Autofix reads and writes Copilot Memory. How security repair knowledge crosses agent workflows, and why verification, scope, and expiry matter.

GitHub Agentic Autofix 会读取并写入 Copilot Memory。本文拆解安全修复经验如何跨 Agent 复用，以及验证、范围和过期为什么重要。

Five updates on proactive safety intervention timing, state revision, TeamHarness, enterprise MCP permissions, and tool-result handling.

5 条 AI Agent 工程更新，重点看主动安全介入时机、状态修正、TeamHarness、企业 MCP 权限边界和 Tool 结果处理。

GitHub Security Lab Fuzzing Taskflow uses coverage gaps to guide model decisions while deterministic tools execute, measure, and persist results.

拆解 GitHub Security Lab 的 Fuzzing Taskflow，模型根据 coverage 缺口决定下一轮，确定性工具继续负责执行、测量与持久化。