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Introducing 𝙾𝚙𝚎𝚗 𝚃𝚎𝚊𝚌𝚑 Better Claude Teach that works with any agent, any model, and with your own data. Features: -> Embed Open Teach into your own custom agents -> Learn from in-browser activity and from agent interactions -> Self-hosted for full data sovereignty -> Future proof and cross-stack Get... show more

Atai Barkai

7,011 subscribers

38,882 次观看 • 1 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 条评论

Nathan Tarbert 的头像

Nathan Tarbert1 个月前

The new gold mine: Agents that learn and improve from every interaction by Continuous Learning from Human Feedback (CLHF).

Uli Barkai🪁 的头像

Uli Barkai🪁1 个月前

That was fast 💨

Atai Barkai 的头像

Atai Barkai1 个月前

well we did pay anthropic a lot of money to give them all our roadmap tokens

CopilotKit🪁 的头像

CopilotKit🪁1 个月前

🚀🚀🚀

安叫兽|Bird🕊️ 🔶 BNB 的头像

安叫兽|Bird🕊️ 🔶 BNB1 个月前

Self-hosted 这点挺关键，数据不用到处飞

Eli Berman🪁 的头像

Eli Berman🪁1 个月前

@CopilotKit Team is cooking. This is sick

Tech with Mak 的头像

Tech with Mak1 个月前

Copilotkit never disappoints 🔥

Vishnu Aniyan 的头像

Vishnu Aniyan1 个月前

The self-hosted angle is what makes this interesting. Most learning/memory layers lock you into their cloud, which means the moment they change pricing or shut down, your agent's accumulated knowledge walks out the door with them. Keeping that local is the right call.

Moez Zhioua 的头像

Moez Zhioua1 个月前

Self hosting the learning loop keeps the data on your own servers and eliminates throttling. How do you version the captured workflow definitions for later reuse?

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