Today we're launching Airbyte Agents.
We built this product to solve the discovery problem for production-grade agents. Every API assumes you already know what you want to query. Endpoint, object ID, fields, etc.
Agents start one step earlier. They need to discover which entities matter before they can fetch or act.
That discovery gap is where most agent architectures break. The Context Store closes it. Pre-materialized business data.
Up to 80% fewer tokens. 40% fewer tool calls.
Deployable via MCP, Python SDK, or our no-code builder (in research preview). 50+ open source agent connectors for the most popular tools, with more coming each week.
We’re early, and the product is getting better every week. We can’t wait for you to test it!
https://t.co/kuiTPbP1rr
Most companies calling themselves AI-native added an AI feature. That is not the same thing.
Talked about this with @chetanp at @StartupGrind yesterday. Being AI-native shows up in three places: how you operate, what you build, and how you make money.
Thanks to SG for having us!
@poolsideai is the quiet kid at the back of the classroom. While others chase headlines, they’re heads down shipping. And they get the moment we’re in. Open models aren’t optional anymore, especially with the insane pace coming out of China. Huge congrats @eisokant@jasoncwarner
Today we’re shipping Laguna M.1 and Laguna XS.2 – our first public models. We’re also shipping our agent harness and a preview product experience.
Both models were trained from scratch on our own stack: data pipelines, training infrastructure, and agent RL.
Today @poolsideai is releasing Laguna M.1 & Laguna XS.2, our latest generation models and first public models
We started Poolside because we believed that to build truly capable coding agents, you need to own the full stack: data, training, reinforcement learning, inference.
These models are the first result of that work, and we’re making them available to everyone
Today @poolsideai is releasing Laguna M.1 & Laguna XS.2, our latest generation models and first public models
We started Poolside because we believed that to build truly capable coding agents, you need to own the full stack: data, training, reinforcement learning, inference.
These models are the first result of that work, and we’re making them available to everyone