Agor Cloud launches open beta for teams working with AI agents on shared boardsMachine translation

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.

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