cortex-labs.xyz

designs, deploys, and governs secure, bare-metal infrastructure for the world's most advanced sovereign AI swarms, by strict human-in-the-loop

[cortex-labs.xyz @cortexlabsxyz]

We use @claudeai by @AnthropicAI every day — Chat, Cowork, Code.

Left screen builds the system.
Right screen commands the fleet.

Managed agents, remote servers, your own infrastructure.

Two brains. One mission. Daily driver.

Mission First. Family always

[cortex-labs.xyz @cortexlabsxyz]

@AnthropicAI @AnthropicAi ✌️ thanks

[cortex-labs.xyz @cortexlabsxyz]

@PalantirTech Thx for the speed !

[Elon Musk @elonmusk]

Falcon Heavy

[cortex-labs.xyz @cortexlabsxyz]

@BlackboxAIhost This is interesting !

[cortex-labs.xyz @cortexlabsxyz]

@elonmusk This is @elonmusk !!!

[cortex-labs.xyz @cortexlabsxyz]

@Carles_Reina @ElevenLabs Viva @ElevenLabs

[cortex-labs.xyz @cortexlabsxyz]

@LoicBerthelot All of them !

[cortex-labs.xyz @cortexlabsxyz]

@LinghuaJ Amazing !!!

[cortex-labs.xyz @cortexlabsxyz]

@Kimi_Moonshot Thx for accelerating !!!

[Linghua Jin 🥥 🌴 @LinghuaJ]

Super excited to finally share CocoIndex v1 ! @cocoindex_io - After 50 releases in v1 alpha, together with 70 contributors since v0 launch. It is a fundamental redesign of how you write incremental data pipelines — built from a year of watching what people actually wanted to do with CocoIndex and building in the space. CocoIndex V1 is built for 𝐀𝐈 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐚𝐧𝐝 𝐚𝐠𝐞𝐧𝐭 𝐛𝐮𝐢𝐥𝐝𝐞𝐫𝐬 — people building coding intelligence, context, RAG, memory, knowledge-graph that live agents depend on.

At GTC 2026, Jeff Dean and Bill Dally named a bottleneck that’s about to reshape every piece of infrastructure around AI. Agents run roughly 50x faster than humans, but the tools they rely on were built for human speed. Data infrastructure is one of those tools, and it matters beyond inference. An agent reasoning over a codebase, a conversation graph, a document corpus, or a stream of events needs that data fresh, organized, and cheap to query — not just on the first call, but throughout the run.

That has always been CocoIndex’s vision. V1 makes it the right shape for agent-era workloads: the same incremental, state-driven guarantees, but now expressive enough to cover the pipeline shapes agents actually produce — entity resolution, clustering, multi-phase reduction, per-tenant topologies, conditional targets beyond embeddings and all. Every pattern in the examples gallery is something a long-horizon agent might want to run itself, and have its outputs become fresh source data for the next agent — without a human babysitting the job.

Teams that take this on seriously typically allocate 10 – 20 engineers for at least six months to land the first production-worthy version — and then keep paying for maintenance indefinitely as sources, targets, and schemas evolve. CocoIndex ships all of this in the engine, so the code you write is the pipeline itself, not the scaffolding around it.

Take a look at the announcement here, and keep us on your feedback!

[OpenCode @opencode]

help us solve a debate should we 3x the kimi k2.6 limits on opencode go or nah

[cortex-labs.xyz @cortexlabsxyz]

@opencode We need to survive till black arrives !

[cortex-labs.xyz @cortexlabsxyz]

@opencode Please !

[cortex-labs.xyz @cortexlabsxyz]

@LinghuaJ Wow ! We want to use this !

[cortex-labs.xyz @cortexlabsxyz]

@Shivam25mishra Linux ! Everything else is consumer slop

[Carles Reina @Carles_Reina]

LLMs, Agentic applications, reusable rockets, etc what a time to be alive & building

[cortex-labs.xyz @cortexlabsxyz]

@Carles_Reina @ElevenLabs Thx for accelerating @ElevenLabs

[cortex-labs.xyz @cortexlabsxyz]

@claudeai Tired of winning thanks to @claudeai

[cortex-labs.xyz @cortexlabsxyz]

@TutaPrivacy Not only France. Microsoft is OS SLOP

[cortex-labs.xyz @cortexlabsxyz]

@andres_vidoza Depends. On Mac silicon fedora.