🫶 @kapa_ai has been great at helping users get answers from our docs.
now it also helps the Prisma MCP answer questions directly 👇
https://t.co/CYK2w6TCKb
Today we're launching Kapa for Agents: all your product knowledge, in one tool call.
As models get smarter ... and pricier ... (looking at you Claude Fable), context is becoming the bottleneck. Here's why:
Say you've built an agent in your SaaS app with some tools. Then a user asks "How do I enable SSO?" but you haven't given the agent a tool to fix that. It doesn't matter how smart your agent is, it hits a dead end.
Instead, with Kapa, you can add easily add a single knowledge search tool so your agent can read your docs, code, tickets.
Real-world agents use this in +40% of interactions to improve planning and avoid dead ends.
TL;DR: we spent 3 years building the best agentic retrieval platform that:
→ Finds the right source ~2x more often than web search or a DIY RAG pipeline
→ Tells you what your agent couldn't answer, and exactly how to close the gap
→ Connects 30+ sources in one click, synced in real time so knowledge doesn't go stale
→ Works with any agent: product copilot, support agent, or Claude Code
Teams like @tweetsbyport, @airbytehq, @circleci and @matillion are already using Kapa's Retrieval MCP and API to build in-product copilots, support agents, RFP tools and coding assistants.
... and today, its available to everyone at kapa [.] ai / agents.
this worked very well even in the internal testing phase. the @kapa_ai team did a great job! 🔥
now we have:
- 🤓ai in https://t.co/0YuQiJeciV for humans
- 🤖@tanstack/cli (doc search), and
- 🤖@tanstack/intent (skills) for your agents
TanStack is one of the fastest-growing JS frameworks in the world.
375M+ weekly downloads.
Used by teams like Anthropic.
Tons of new launches like TanStack AI SDK
And now their docs have a grounded AI agent powered by @kapa_ai.
Why?
Because @tan_stack ships.
The docs change constantly. The product evolves constantly. And if developers - or AI coding agents - are not reading the latest docs, they get left behind.
That leads to outdated answers, poor implementations, and a lot of wasted time.
So the TanStack team needed an AI assistant that could:
→ Index thousands of docs pages in real time
→ Give answers grounded in official sources
→ Cite where the answer came from
→ Say “I don’t know” when the docs don’t support an answer
→ Help the team spot gaps in their documentation through analytics
That’s now live.
Huge credit to Anton Malling from kapa team and @tannerlinsley for the awesome deployment. We're just getting started!
Introducing Ponder: the agentic video editor.
It’s a new paradigm for filmmaking, where powerful creative agents and humans collaborate to tell world-class stories.
We're also announcing our $2.5M pre-seed, led by Liu Jiang from Sunflower (@seedtosunflower), with @Joshuabrowder and @MattHartman.
Joined by @levie (Box), @emerywells (Frame), @JaredLeto, @CommaCapital, the @nyuniversity venture fund, @cory, @darian314, @shiffman, and many more incredible founders, investors, and creators.
@mortenpx@intercom Crazy to think that their landing page came out over 1+ year ago if I remember correctly. Could be a coincidence, but the art direction is pretty cool if you ask me