Why we're building Linea

The gap nobody talks about

Every week another demo goes viral. An agent that books meetings, writes code, drafts contracts. The gap between what an LLM can do in a demo and what a business can rely on in production is currently closed only by engineering teams writing bespoke glue code.

We intend to close that gap with software.

What we're building

Linea is a visual orchestration platform for production AI agents and workflows. Not another wrapper around an LLM. Not a chatbot builder. The closest analogs are n8n, Temporal, and Lambda, but built natively for agents.

Near term, we're shipping:

• Workflows: visual, composable, debuggable
• Memory and retrieval: vector, hybrid, stateful
• MCP integrations: first-class tool use
• Scheduling: cron and event-driven triggers
• Isolated runtimes: sandboxed execution per agent
• Observability: traces, logs, and replays for every run

Long term: deploy autonomous systems the way you deploy servers today. An AWS for agents.

Why now

The infrastructure layer for AI agents is where the cloud infrastructure layer was in 2008. AWS was a year old. Most teams were still managing their own servers. The winners weren't the ones who wrote the best application code. They were the ones who built on top of the right platform early.

Agent systems are headed the same direction. The teams that will win aren't the ones who hand-wire the most prompts. They're the ones who ship reliable systems on top of the right orchestration layer.

That layer doesn't exist yet. We're building it.

Building in public

We're building Linea in public. Not for the optics, because agent infrastructure is easy to oversell and hard to deliver. Building in public keeps us honest, keeps feedback landing on the runtime instead of the marketing, and lets the people who care most about this problem shape it while it's still malleable.

If that sounds like you, join the waitlist and follow along.