TanStack Blog

TanStack Table V9 is here with a tree-shakable feature architecture, fine-grained reactivity, improved performance, and first-class support for more frameworks.

TanStack has a new logo, a design system, and a brand that finally looks like actual people care about the details, because we do.

TanStack Markdown and TanStack Highlight are two tiny, synchronous libraries for turning technical content into deterministic, themeable webpages without shipping a general-purpose publishing system.

React Server Components solved a real performance problem for tanstack.com, but once our markdown and highlighting stack got small, we were left with a set of runtime and code-shape tradeoffs we didn't want anymore.

TanStack Table V9 moves state and options behind reactive primitives so updates stay within the scopes that consume them. Here is the path we took to get there.

Wiring a coding agent into your app means gluing each CLI's protocol and deciding where it safely runs. TanStack AI's new sandbox layer collapses both into one pattern, and lets you plug in any Agent Client Protocol agent with no dedicated package.

TanStack Table V9 can use dramatically less memory than Table V8 in large tables because row, column, cell, and header APIs now live on shared prototypes instead of every object instance.

TanStack Start won Breakthrough of the Year and TanStack AI won AI Project of the Year at the 2026 Open Source Awards in Amsterdam.

TanStack Table V9's types do a lot more than V8's did. Here's how we cut type instantiations by 62-86% across every package between alpha.54 and beta.12 to keep the editor experience feeling instant.

Six months ago we shipped the alpha with a promise - a framework-agnostic, provider-agnostic AI toolkit with no lock-in, ever. Today TanStack AI hits Beta with every modality, a hardened protocol, middleware, orchestration, host-side MCP, and 265 E2E tests running across 10 providers on every PR.

TanStack Table V9 is now in Beta. It wouldn't be as good as it is without our learnings from building TanStack Form.

Host-side Model Context Protocol support lands in TanStack AI. Connect one MCP server or a whole pool, choose managed or manual lifecycle, and pick your type-safety level - from zero-config discovery to fully generated end-to-end types.