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Architect by Lyzr - Build AI that works for you

What if N8N and Lovable Have a baby? Well, Architect is exactly that! Build powerful multi-agent AI systems where you can see and control every decision, every integration, every flow. Before writing a single line of code. No black boxes. No guesswork. Just clarity.

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christian b.

Awesome product!

Mohammed Faraaz Ahmed
@christian_b_1 glad you are liking it!
Catherine Cormier

Congrats on your launch, guys :)

Quick question here before i dive in into this one!

Once Architect generates the PRD, multi-agent orchestration, UI, DB connections, RBAC, audit logs, etc., how do we take it to production? Is there export to self-hosted (our VPC/K8s), one-click deploy to Lyzr cloud, or API/SDK wrappers so we can embed/embed calls from our existing backend/frontend? Any support for custom LLMs or bring-your-own-model?

Shreyas Kapale

@cathcorm great question!

You can export the frontend code and deploy it anywhere — on any cloud of your choice.

With the Lyzr SaaS offering, the agents (backend agent services) run on our cloud. However, for enterprise deployments, we support running everything inside your own private VPC as a fully isolated environment. We also offer an on-prem model where the entire stack can operate as a closed-box deployment within your infrastructure.

Also in terms of architect’s flexibility you can integrate any api or db from your side the complete next js code is given to you.

In terms of models, you can bring in your own private models too, our studio is completely model and cloud agnostic from day one.

P.S. We’re also planning to roll out an open-source lite version of our agents so you’re never code-locked into our platform. And with our on-prem model, you always have the option to run the complete, full-fledged infrastructure inside your private VPC.

Catherine Cormier

@shreyaskapale ohhhhhh love to read that! thank you so much for taking the time to jump in here and answer so quickly :)

KP

Congrats on the launch! What tools are your top customer favorites?

Harsh Upadhyay
Hi @siva_surendira , Saw Architect by Lyzr on Product Hunt — interesting direction around building AI that “works for you.” One quick thought: you might experiment with narrowing the headline around a specific outcome or persona (e.g., dev teams, ops teams, AI-native startups). It could help make the value instantly concrete rather than broad. Curious how you’re thinking about positioning this right now.
Curious Kitty
You’re spanning a lot: plan mode, RAG, tool integrations, multimodal, UI generation, and an ops/control plane. What did you deliberately not build to avoid becoming a “kitchen sink”?
Shreyas Kapale

@curiouskitty 

That’s a very fair and thoughtful question — and honestly, we think it’s the right one to ask.

From our side, the intention was never to build a “kitchen sink.” The goal was to build an app builder that feels batteries included, so users don’t have to spend weeks wiring together RAG, tools, multimodal models, hosting, and infra just to ship something meaningful.

For most users, it’s simply:

Natural language → app.

The complexity exists — but it’s intentionally abstracted.
The app is the outcome. Everything else is infrastructure.

The control plane is there for teams who want to go deeper — observability, governance, tuning, guardrails, orchestration — but it’s not required to get started. It’s depth without forcing complexity.

A simple analogy we like: a car has hundreds of systems working under the hood. You don’t need to be an engineer to drive it — but if you are one, the hood still opens.

So the philosophy isn’t “add everything.”
It’s “hide the complexity, preserve the power.”

Appreciate you raising it — it’s exactly the kind of discussion that keeps products sharp.

Piroune Balachandran

Agent tooling right now splits into workflow builders like n8n and Make where you drag nodes, and app generators like Lovable where you get a frontend but wire agent logic yourself. Architect sitting between those, prompt to full orchestration plus a deployable Next.js UI, fills a gap most teams hit once prototyping is done. Running 10,000 automated tests via the simulation engine before deployment is what actually moves this past demo territory... most agent prototypes break the moment real users hit edge cases. Pre-launch failure mode detection matters more than build speed.

Shreyas Kapale

@piroune_balachandran You’ve nailed it — you’ve summarized Architect beautifully!

Andrei Tudor

Cool logo, smooth description, nice product! Congrats on the launch, onwards and upwards!

Mohammed Faraaz Ahmed

@andreitudor14 Glad you loved it!!

Mykola Kondratiuk

Orchestration is always the messy part. Been building AI pipelines for a couple of my apps and tool call failure handling ends up taking way more time than the actual logic. How does Architect deal with mid-pipeline failures? Like if an agent's tool call errors out 3 levels deep - does it retry, fail the whole flow, or can you configure recovery paths?