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TanStack AI now has subagents 🤖 Define agents once, pass them to chat(), and each one streams its own card in your UI. Jev routes every message to the right agents, in parallel or in order⚡

30,764 görüntüleme • 2 gün önce •via X (Twitter)

10 Yorum

TANSTACK profil fotoğrafı
TANSTACK2 gün önce

Find the docs here:

MONARCH profil fotoğrafı
MONARCH2 gün önce

Feels like Tanstack AI is the only Tanstack library receiving updates 😞

Webster | JARVIS profil fotoğrafı
Webster | JARVIS2 gün önce

love the parallel streaming cards way nicer than one long assistant blob how does Jev decide order vs parallel routing?

Jeremy Longworth profil fotoğrafı
Jeremy Longworth2 gün önce

This is a clean example of orchestration moving into the framework layer. Define specialized agents once, route work by intent, run them in parallel or sequence, and keep their outputs visible in the UI. That’s a much more useful abstraction than “one agent does everything.”

Alem Tuzlak 🇧🇦 profil fotoğrafı
Alem Tuzlak 🇧🇦2 gün önce

Man @typesafeai was really the missing piece we needed all along

Automater profil fotoğrafı
Automater2 gün önce

The UI card is useful only if it carries execution context: input slice, tools called, and exit condition. Otherwise parallel cards just turn one opaque blob into several smaller opaque blobs.

RusticStack profil fotoğrafı
RusticStack2 gün önce

Jev picks parallel when no child needs another child's text, and sequence only when a later agent must read the earlier one.

John Rood profil fotoğrafı
John Rood2 gün önce

fan-out is where determinism dies quietly: each subagent should read a frozen input slice taken at spawn, not the shared live conversation. otherwise results depend on who read when, and the same message lands in different cards on a rerun. freeze the inputs, merge the outputs.

Ash Designs profil fotoğrafı
Ash Designs2 gün önce

One card per agent streaming in parallel is a nice default. The hard part for users is knowing which card to trust when two disagree. Any plans for a merged summary view?

Fajar M Reza profil fotoğrafı
Fajar M Reza2 gün önce

Streaming each specialist’s card could make parallel agent workflows easier to debug.

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