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.
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.
Congrats on the launch, hey @shreyaskapale. Consider highlighting specific use cases for onboarding. What activation metric will you prioritize?
Hot take: the "N8N + Lovable baby" comparison actually undersells what's interesting here.
The real question nobody's asking about no-code agent builders: what happens when your agent needs deep domain expertise?
I've been building AI travel agents (Aitinery — we use Google ADK with multi-agent pipelines for Italy trip planning), and here's what I learned the hard way: the orchestration layer is maybe 20% of the problem. The other 80% is domain knowledge — knowing that the train from Rome to Amalfi doesn't exist (but ChatGPT will happily recommend it), or that a "15-minute walk" in Positano actually means 400 stairs.
Tools like Architect nail the 20% beautifully. Prompt to deployed app, multi-agent orchestration, tool integrations — that's genuinely hard infra work and you've clearly built something solid.
But I'm curious about the 80%: when someone builds a vertical agent on Architect (say, a legal research agent or a medical triage bot), where does the domain expertise live? In the prompt? In custom tools? In fine-tuned models?
Because the dirty secret of AI agents is: generic orchestration + generic LLM = generic output. The magic happens in the domain layer, and that's the part that's hardest to no-code.
Not a criticism — genuine question. Would love to hear how you think about this @vidaboravida
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”?
How much visibility or control do we have over the code while it is being generated (when we're in planning mode)?
Is there a desktop app or you guys working on it?
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.
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?
Congratulations on the launch! I love the direction Architect is taking - truly agentic applications that feel truly enterprise-ready. Excited to see how the platform evolves over the coming years 🚀
Please list in pricing the free credits/month on free tier.
I probably will not stay on free, but this in mid-February, 2026; integrate beyond what every agentic platform has and more to be competitive. Github, supabase, railway, postman, cloudflare...
I want to build, not schedule things, so gmail, google calendar and your other integrations, I'm sorry, but I'm mnot a fluffer; my eyes glaze over until I see integrations that would actually help with what really eats our timee - debugging.
I'm with you in the struggle, and eager to see you succeed.
Interesting no-code approach for AI agents. How does it compare to building custom agents with code? Curious about the flexibility vs speed tradeoff.
Loving this approach of making AI less of a mystery. Feels like the right direction!
The guided mode feature of architect is my favorite, everyone should try that!! 💙
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.
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.