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Rohan Paul更新于 10月21日 22:46

Agor 开放公测:在共享看板上统一调度 Claude Code、Codex 和 Gemini

Every agent vendor wants your team to standardise on its assistant.

AI 导读

Agor 推出托管版开放公测,把 Claude Code、Codex、Gemini 等现有 agent harness 放到同一块共享看板上运行,用户自带 API key 或订阅并直接向供应商付费,平台不加 token 加价。每个 agent 会话和 git 分支按区域排布在看板上,可按任务选择不同 agent 和模型,上下文通过共享 Knowledge 和显式交接流转。面向重复性工作,它把 agent 打包成带固定角色、版本化知识文档、MCP 工具连接和可选定时的 AI teammates,并支持在 Slack、Discord、GitHub 和 Shortcut 中接收任务。

推荐理由

AI 评分 67

Agor 把多家 agent harness 放到同一块共享看板上,读者可据此判断多智能体协作与自带密钥模式的取舍。

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引用

Maxime Beauchemin

@mistercrunch

A year ago I started Agor to keep track of my own agent sessions across a pile of terminals. Today @agorcloud Open Beta is out: the hosted version, where your team and your agents share and work together on live boards. Tell me what you build. https://t.co/BJ2GRPxRA8 https://t.co/K5kYVWGlmo

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Every agent vendor wants your team to standardise on its assistant.

@agorcloud sits one layer up: it runs existing agent harnesses on a shared board, with your own API keys or supported subscriptions, and lets you pick the agent and model per task.

So one agent can investigate an approach and a different one can review it. Context moves through shared Knowledge and explicit handoffs, instead of living in one provider’s session.

Agor places each agent session and git branch on a spatial board, grouped into zones instead of a list of near-identical chats.

For recurring jobs, it packages agents as “AI teammates” with a set role, versioned knowledge documents, MCP tool connections and optional schedules.

Those teammates also take requests in Slack, Discord, GitHub and Shortcut, so people who never open the board can still assign and review work.

Underneath, Agor coordinates existing harnesses such as Claude Code, Codex and Gemini, while customers bring their own API keys or subscriptions and pay providers directly, without token markup.

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Rohan Paul