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TeamClu
Shared skills and group chat for your team's AI agents.
TeamClu is a shared workspace where your team and its AI agents work in the same group chats. Sessions are group chats, not 1:1 bot chats: add teammates, @mention people, branch an agent reply into a thread, and see who's online. Skills are team assets: publish one with a changelog and every teammate's agent follows it automatically. Edit locally and you get a conflict, never a silent overwrite. MIT, in beta.
I kept running into the same thing on every team I worked with: the AI agent is personal, and that's the wrong shape for a team.
I'd teach my agent how we run a release. A teammate would teach theirs the same thing a month later, slightly differently. And the work itself happened in a chat window nobody else could see.
So TeamClu makes two things shared instead of private.
Skills are team assets. You publish one to your team's registry with structured metadata and a changelog, and every teammate's agent follows it automatically — when you fix a broken step, the fix actually reaches people instead of dying in your dotfiles.
Sessions are group chats. Not 1:1 chats with a bot: add teammates, @mention people, see who's online, and branch any agent reply into its own thread. The agent is a participant, not a service.
Knowledge, roles and MCP config are shared the same way, and each member still keeps a private context. Agents run on your own machines, reachable from WeCom, Feishu, Discord, KOOK, WeChat or Email.
It's MIT licensed and in beta — built in the open, and I'd rather hear where it breaks than where it's nice.
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About TeamClu on Product Hunt
“Shared skills and group chat for your team's AI agents.”
TeamClu was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #95 on the daily leaderboard. TeamClu is a shared workspace where your team and its AI agents work in the same group chats. Sessions are group chats, not 1:1 bot chats: add teammates, @mention people, branch an agent reply into a thread, and see who's online. Skills are team assets: publish one with a changelog and every teammate's agent follows it automatically. Edit locally and you get a conflict, never a silent overwrite. MIT, in beta.
TeamClu was featured in Productivity (663k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 199.6k products, making this a competitive space to launch in.
Who hunted TeamClu?
TeamClu was hunted by Bertrand. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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