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Zero Runtime is for building real-time AI agents. There are two kinds. Pick the one you are here for.

Voice AI

Agents that talk with people on your website, in your app, or over a phone call. Speech in, speech out, fast enough to hold a conversation.Start here

Physical AI

Robots that a person or a model drives over the internet. Actions and camera frames, checked against your safety limits and recorded.Start here
Both are built for the same three things: low latency, high reliability, and observability you can act on. In a hurry? Go straight to the voice agent or teleoperation quickstart.

Why Zero Runtime

Real code, not a dashboard

Ordinary Python, running in your process with your own libraries and data.

Your providers, your hardware

Swap any speech-to-text, LLM or voice in a line. Connect any robot.

A worker, not a cluster

You deploy one worker. Nothing else is yours to run.
Why Zero Runtime compares it with frameworks and no-code platforms.

Voice AI use cases

Customer support

A support agent that hands off to a person over MCP instead of guessing.

Appointment scheduling

A phone agent that books slots. Its tools are an n8n workflow reached over MCP.

Live translation

Detects the caller’s language on every turn and rebuilds the pipeline to answer in it.

Multilingual support

Detects the user’s language and answers in the one they prefer.
Voice agents reach people on web, mobile and telephony, including WhatsApp.

Physical AI use cases

Remote teleoperation

Drive a robot from another room or another country, inside the safety limits you set.

Data collection

Record a person driving, then export a LeRobot dataset. Each action is paired with the camera frame that caused it.

Simulation and policy

Neither side has to be real hardware. Drive a simulated robot, or let a model send the movements.

Supervised autonomy

Let a model drive, and have a person take over whenever they need to.
Robots connect through LeRobot, ROS 2 or an adapter you write. See Platforms for tested hosts and hardware.

Start with AI

Connect your coding agent to the MCP server and Agent Skill, then describe the agent you want. It searches these docs as it works, so it uses real method names instead of guessing them.