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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.
Top comment
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.
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.
On the analytics side, TeamClu competes within Productivity and GitHub — topics that collectively have 704.4k followers on Product Hunt. The dashboard above tracks how TeamClu performed against the three products that launched closest to it on the same day.
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.
For a complete overview of TeamClu including community comment highlights and product details, visit the product overview.