Architect by Lyzr
Build AI that works for you
497 followers
Build AI that works for you
497 followers
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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Promoted
Hey Product Hunt ! 👋
Shreyas here from Lyzr. Today we’re launching Architect — prompt to fully deployed agentic application. No glue code. No stitching frameworks together.
Here’s what Architect actually does:
1. Prompt → Full App
Describe what you want. Architect builds the agent logic, tooling, guardrails, RAG pipelines, AND a production-ready Next.js UI. Not a JSON blob. A deployable application.
2. Not Just Text — Voice, Image & Video Apps Too
Build agents that can talk, see, generate images, and create videos. Voice apps. Image gen apps. Video gen apps. All from a single prompt. OpenAI, Anthropic, ElevenLabs, Replicate — any vendor, any modality, zero integration work. Your agents aren’t limited to chat. They’re multimodal from day one.
3. Plug Into the Tools Your Team Already Uses
Gmail, Notion, GitHub, Slack, Google Drive, Jira — your agents can use them as tools natively. No custom API wiring. No middleware. Just tell Architect what your agent needs to do and it connects the dots. Your agents don’t just think — they act across your entire stack.
4. Two Agent Styles, One System
Build autonomous manager-style agents for complex reasoning OR deterministic workflow agents for predictable execution. Mix both. Most platforms force you to pick one.
5. Lyzr Control Plane + Agent Studio — Full Ops Without Touching Code
This is the layer that makes Architect production-grade. Every app Architect builds is connected to Lyzr’s control plane through Agent Studio.
That means after deployment, you can:
— Observe agent behavior and trace every decision
— Modify prompts, logic, and orchestration flows
— Add or update knowledge bases and RAG pipelines
— Apply and tune guardrails in real time
— Swap models, adjust tool access, manage permissions
All without touching a single line of your frontend code. The UI stays intact. The agent brain evolves independently. Build once, operate forever.
It Builds the UI (Yes, Really)
Most agent platforms stop at the backend. Architect generates a full Next.js frontend. Your agent isn’t just functional — it’s shippable to users.
TL;DR: Prompt → Agents → Governance → UI → Deploy. Text, voice, image, video. Gmail, Notion, GitHub built in. Full ops layer via Lyzr Agent Studio — observe, modify, govern, scale — without rewriting code.
We built this because shipping AI agents as real products is still way too hard. Architect fixes that.
Try it. Break it. Tell us what sucks.
@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.
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?
@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.
@shreyaskapale ohhhhhh love to read that! thank you so much for taking the time to jump in here and answer so quickly :)
Hey Product Hunt! 👋
Vidur here from Lyzr. Today we are launching Architect.
We built Architect because we kept seeing the same problem: the people who understand business problems best — couldn't easily build the agent workflows and apps they envisioned without depending entirely on developers.
Architect bridges that gap. Describe what you want to automate or build, and Architect generates the PRD, orchestrates the agents, connects your tools, and delivers a working agentic app — without you needing to think about the underlying infrastructure.
Think of it as the fastest path from "I wish I had an agent that..." to actually having that agent, with a UI, live integrations, and everything.
What makes us different? Unlike n8n or Make, there's no node-dragging. Unlike Lovable or Replit, you're not building generic apps — you're building agents that reason, take action, and connect to your enterprise tools.
We're still early. The architecture is evolving fast, and our template library is growing. But if you're someone who has ever had to wait weeks to get a working agent prototype — we built this for you.
Drop your questions below — happy to go deep on use cases, architecture, or how we think about agent orchestration.
Interesting no-code approach for AI agents. How does it compare to building custom agents with code? Curious about the flexibility vs speed tradeoff.
@iris_serra2 You get a built-in control plane powered by Lyzr Agent Studio, embedded directly into every Architect app. This means you can manage agent operations, observability, knowledge, improvements, and configurations — all from a single no-code platform — without ever rewriting application code, that is the biggest unlock!
Loving this approach of making AI less of a mystery. Feels like the right direction!
@djordjevic_nikola Really glad it resonates!
@bartvandekooij Thank you! Just getting started 🚀