Build production-ready apps with everything you need to go live - authentication, database and monitoring included out of the box. Powered by an open-source framework designed for the AI era.
Aram and Eduard here - co-founders of Modelence. We previously built and scaled a startup where we kept solving the same infrastructure problems over and over: auth, database, APIs, cron jobs, deployments. So we built an open-source full-stack TypeScript + MongoDB framework to never do that again.
The problem: AI coding agents (Claude Code, Cursor, etc.) are great at writing application logic. But they constantly fail at backend setup from scratch - wiring up auth, database connection, infrastructure. That's because most platforms were designed for humans reading docs, not agents writing code.
We built Modelence from the ground up as an open-source framework for agentic development, unlike other app builders that simply use existing third party frameworks and platforms not designed for AI agents.
Built-in guardrails for agents to catch and auto-correct errors before you deploy.
Automated database schema and index management, so agents don't have to attempt to solve these tricky problems on their own every time. Agents focus on your product logic instead of burning tokens on boilerplate and failing at infrastructure setup.
Cloud that actually closes the loop - persistent containers, dev environments, one-click deploy, and built-in observability around every operation. Because building is the easy part - running in production is where things actually get hard.
And there is zero lock-in: you fully own all source code and data.
AI App Builder included - Type a prompt on modelence.com and get a working full-stack app. Then pull it locally, continue in your own IDE, and deploy back to Modelence Cloud.
What's coming next - A built-in DevOps agent that lives in your cloud environment, knows the framework end-to-end, and uses observability data to act on errors, alerts, and incidents automatically.
Our bet is that the real challenge in AI coding isn't the builder tool - it's the framework and platform underneath. If your agent has a solid foundation, it ships real apps. If it doesn't, it generates impressive demos that break in production.
Modelence is open-source - tell us what's missing, what you'd want to see, and how your workflow actually looks - we want to hear it.
The framing of 'framework designed for AI agents' is the most interesting angle here — most infra tools were built for humans reading docs, then retrofitted for agentic use. The production gap (auth + DB + deployment working day 1) is exactly where Claude Code and Cursor agents burn most of their retry loops. Curious whether the open-source framework is usable standalone without Modelence Cloud, or if the cloud is load-bearing for the production guarantees.
Congrats! Wondering how this stacks up vs Replit, Lovable or other app builders. What's your take?
Smooth experience with auth and DB pre-wired. On a first quick test, it feels similar to others. Real edge (production-readiness, observability) is invisible until later. Worth making that visible earlier :)
Everyone’s talking about AI building apps faster, but almost no one talks about what happens after the demo works.
Who do you see as your core user right now? Indie hackers experimenting with AI agents, or teams shipping production products?
Nice concept! How does Modelence handle more complex cases like custom middleware, background jobs, or multi-tenant setups? Is it easy to go beyond the happy path?
Congrats on the launch, @artahian! How does the auto-fixing of the DevOps agent look like? Curious to know
Congrats on the launch @artahian . Product looking sharp.
This actually hits a real pain point. AI agents are amazing at logic, but backend setup is where things quietly fall apart. Love that you're focusing on the foundation instead of just another shiny builder. Solid thinking 👏
Congrats on the launch. Who is Modelence built for? Are you targeting devs and builders or largely non-coders?
What does it specialise for? Websites, web app, mobile app or chrome extensions?
Congrats, team! I’ve seen agents generate great logic but completely struggle with auth, DB wiring, and deployment setup. If Modelence truly abstracts that reliably (with guardrails + production-ready infra), that’s a big change!
Hey PH 👋
Aram and Eduard here - co-founders of Modelence. We previously built and scaled a startup where we kept solving the same infrastructure problems over and over: auth, database, APIs, cron jobs, deployments. So we built an open-source full-stack TypeScript + MongoDB framework to never do that again.
The problem: AI coding agents (Claude Code, Cursor, etc.) are great at writing application logic. But they constantly fail at backend setup from scratch - wiring up auth, database connection, infrastructure. That's because most platforms were designed for humans reading docs, not agents writing code.
We built Modelence from the ground up as an open-source framework for agentic development, unlike other app builders that simply use existing third party frameworks and platforms not designed for AI agents.
Built-in guardrails for agents to catch and auto-correct errors before you deploy.
Automated database schema and index management, so agents don't have to attempt to solve these tricky problems on their own every time. Agents focus on your product logic instead of burning tokens on boilerplate and failing at infrastructure setup.
Cloud that actually closes the loop - persistent containers, dev environments, one-click deploy, and built-in observability around every operation. Because building is the easy part - running in production is where things actually get hard.
And there is zero lock-in: you fully own all source code and data.
AI App Builder included - Type a prompt on modelence.com and get a working full-stack app. Then pull it locally, continue in your own IDE, and deploy back to Modelence Cloud.
What's coming next - A built-in DevOps agent that lives in your cloud environment, knows the framework end-to-end, and uses observability data to act on errors, alerts, and incidents automatically.
Our bet is that the real challenge in AI coding isn't the builder tool - it's the framework and platform underneath. If your agent has a solid foundation, it ships real apps. If it doesn't, it generates impressive demos that break in production.
Modelence is open-source - tell us what's missing, what you'd want to see, and how your workflow actually looks - we want to hear it.
Try it now: modelence.com 🚀