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Orchestrate and observe
Visual workflows, multi-agent pipelines, async execution, and realtime monitoring, so runs are traceable, not black boxes.
AI-native agent infrastructure
Run autonomous agents on real infrastructure.
Linea is AI-native infrastructure for autonomous agents at scale, closer to n8n × Temporal × Lambda than a chat UI. Workflows, memory, MCP, scheduling, isolated runtimes, and observability, toward an “AWS for agents” where teams ship full systems, not one-off prompts.
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Product window
See how agent workflows come together in the product.
Demonstration video showing Linea Labs early access. No captions are necessary as this is primarily a visual demo with no speech.
Watch the first Linea preview
Infrastructure for agents, not another LLM shim.
Most agent stacks stop at thin LLM wrappers. Linea targets orchestration, isolation, memory, execution, and deployability, so agent systems can run in production. Long term: autonomous compute as a platform; near term, workflows others can ship and consume like software.
02
Memory and tools
Vector and hybrid retrieval, MCP integrations, and first-class tool use so agents stay stateful and capable over time.
03
Deployable, isolated runtimes
Isolated execution, permissions, and APIs, closer to shipping agent-backed services than wiring prompts in a notebook.
Before you join
What early access actually means
What Linea is, what early access includes, and why we care about infrastructure over prompts.