Code Your AI Assistant.
Launch in One Click.

Get started with a ready-made assistant or craft your own -
WaveAssist hosts, scales, and monitors every run.

Build • Run • Scale Python Assistants

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Hosted Assistants

Build locally, launch in one click—WaveAssist keeps every assistant online, secure, and auto-scaling.

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Code-First Flexibility

Open any step, tweak the code, add a pip install, redeploy in seconds.

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AI Starter Assistants

Skip boilerplate: launch a production-grade open-source AI assistant with a single click.

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Real-Time Ops

Stay on top of every run, view logs, and see executions in realtime.

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Event & Cron Triggers

Kick off flows in under a second from webhooks, schedules, or both.

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Dedicated Infrastructure

Every account runs on its own server for libraries, secrets, and security.

Built Using WaveAssist

Gitzoid
Vyapak
FinTrek
Vidly
WavePredict
BrandTrace

Ready-to-Use Assistants

Launch AI-powered workflows instantly with our production-ready open-source assistants. Deploy from GitHub using WaveAssist.

Shipping Faster, Sleeping Better

Teams share how WaveAssist handles the workflows so they can focus on features—not servers.

We forked an assistant, tweaked a node, and shipped an LLM PR Review agent before lunch. What used to take us days of coordination and setup now happens in under an hour, with full visibility across the team.

Sophie Nguyen

Sophie Nguyen

Head of AI Ops, NovaShift

Marketing shipped the assistant & then Engineering refines the Python – Perfect. It’s the smoothest cross-team handoff we’ve had, and it keeps both sides in flow without waiting on each other.

Rahul Mehta

Rahul Mehta

VP Product, SignalLoop

Iterating on live workflows feels like editing a Google Doc—instant and safe. We test, deploy, and roll back with confidence—no tickets, no blockers, just fast feedback and clarity, with everyone on the same page.

Elena Rossi

Elena Rossi

Engineering Manager, PixelPath

Ready to Launch Your First AI Assistant?

Ship AI-powered automation in minutes—WaveAssist handles the servers & scaling.

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