多智能体

LangGraph human-approval schemas, Deep Agents safeguards for parallel writes to the same file, and tighter OAuth boundaries in the MCP Ruby SDK.

本期收录 LangGraph 人工审批结构约束、Deep Agents 同文件并行写保护，以及 MCP Ruby SDK OAuth 边界收紧。

How task dependencies shape multi-agent results, with SAIGE experiments, ablations, and OpenAI guidance for deciding when to delegate.

Rethinking Multi-Agent Collaboration 说明多 Agent 的收益取决于任务依赖结构。本文结合 SAIGE 主实验、消融实验和 OpenAI 多 Agent 工程建议，整理可执行的委派判断。

AI agent engineering readings for September 11 to 18, 2026, with key findings, engineering implications, suggested sections, and primary sources.

覆盖 2026-09-11 至 09-18 的 AI Agent 工程阅读日志，保留本期重点、工程意义、优先阅读位置与一手来源。

AI agent engineering readings for September 11 to 17, 2026, with key findings, engineering implications, suggested sections, and primary sources.

覆盖 2026-09-11 至 09-17 的 AI Agent 工程阅读日志，保留本期重点、工程意义、优先阅读位置与一手来源。

覆盖 2026-09-11 至 09-16 的 AI Agent 工程阅读日志，保留本期重点、工程意义、优先阅读位置与一手来源。

AI agent engineering readings for September 11 to 16, 2026, with key findings, engineering implications, suggested sections, and primary sources.

拆解 AWS 如何用确定性工作流分开 Agent 提案、规则验证、人工审批和真实执行，让模型负责候选方案，代码负责边界与幂等。

How AWS separates agent proposals, rule checks, human approval, and execution, with code enforcing boundaries and idempotency.