# DAIR.AI 推出通用动态工作流编排器

- 来源：elvis (@omarsar0)
- 发布时间：2026-07-24 00:04
- AIHOT 分数：41
- AIHOT 链接：https://aihot.virxact.com/items/cmrxq074u01byroxpbmaywbmg
- 原文链接：https://x.com/omarsar0/status/2080323178119786642

## AI 摘要

DAIR.AI 创始人 Elvis Saravia 在其 AI 智能体编排器中构建了“动态工作流”功能，可支持 LLM 委员会、动态任务路由、顾问/法官+执行者及智能体团队等多种模式。该功能受 Claude Code 启发，旨在跨不同智能体后端（Claude、Codex 等）实现通用化，解锁新的测试时计算形式。

## 正文

Dynamic workflows are a generalization of harnesses， automations， loops， routing， and graphs.

It's the most powerful feature I have built into my agent orchestrator.

Supports all kinds of patterns that leverage different agent backends （claude， codex， pi， hermes，…）.

It's a meta-harness approach that unlocks new forms of test-time compute.

Example of use cases it supports：

> LLM councils to get different perspectives from LLMs or plan more intensively

> Dynamically routing tasks to different agents based on needs （e.g.， cost efficiency and optimal intelligence）

> Advisor/Judge + executor workflows and pretty much any complex graph-based pattern required by the task. I find it especially useful for long-running work and code reviewing.

> Agent teams that talk to each other if needed for the task. I like to use this for AI editing， artifact creation， and other creative tasks.

And I am sure it supports so many things that I haven't discovered yet.

I got inspired by the dynamic workflow feature released by the Claude Code team. I had actually built it earlier this year but wanted to generalize it across different agent backends. I think this is going to become more popular in the coming days. I will share more of my findings soon.