多智能体

OpenCompany uses company.toml, agent teams, and human sign-off to put organizational structure and agent configuration into version-controlled files.

OpenCompany 用 company.toml、Agent Team 和 Human Sign-off 把组织结构与 Agent 配置写成可版本控制文件，并明确保留人工签字点。

AI agent engineering readings for September 4 to 10, 2026, with key findings, engineering implications, suggested sections, and primary sources.

覆盖 2026-09-04 至 09-10 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。

How jcode handles multi-agent resources, state synchronization, and verification in its harness, beyond the capabilities of the model alone.

介绍 jcode 如何把多 Agent 的资源、状态同步和验证放到 Harness 层，说明并行 Coding Agent 的瓶颈不只是模型能力。

A multi-agent engineering workflow uses isolated worktrees, CI, cold-start review, evidence gates, and layered context to control delivery of AI-generated code.

介绍一个多 Agent 工程工作流，如何用独立 worktree、CI、冷启动审查、证据门和分层上下文控制 AI 生成代码的交付。

A 48-hour hackathon build of an event-driven multi-agent runtime with registry, workflow, execution, negotiation, settlement, and observability layers.