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.
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!
@hovo_ghevondyan1 the biggest difference is that instead of using existing frameworks and platforms together we’ve built a framework + cloud specifically for agentic development, more opinionated and batteries included. This lets us generate apps with guaranteed working setup.
@nuseir_yassin1 One of the biggest differences is that instead of relying on existing framework and platform combinations, we built a custom open-source framework and cloud designed specifically for the AI era. This enables us to generate applications with a guaranteed working setup out of the box.
@roopreddy Modelence is built for both non-coders and developers. You can build an application from a prompt using the App Builder, or deploy a Modelence framework-based application using the Cloud Environment deployment flow. The latter is more for engineers who prefer to code and build in their local IDE.
@syed_shayanur_rahman Right now, it's web-only and more focused on complex web applications, though you can also build simple websites using Modelence. We've already noticed several users successfully building Chrome extensions with it as well.
Report
Congratulations. What is the DevOps agent and how will it work?
@zerotox DevOps Agent is in development and will run in your cloud environment, understand the framework end-to-end, and use observability data to automatically act on errors, alerts, and incidents. For example, if your app crashes, it will analyze logs, CPU/memory usage, cron jobs, and other resources, detect the cause of the issue, and even autofix it.
Modelence App Builder
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 🚀
Trace
FuseBase
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!
Going to test it out 👀
Modelence App Builder
@kate_ramakaieva Thank you!
Aikido Security
Modelence App Builder
@hovo_ghevondyan1 the biggest difference is that instead of using existing frameworks and platforms together we’ve built a framework + cloud specifically for agentic development, more opinionated and batteries included. This lets us generate apps with guaranteed working setup.
Nas.io
How does it differ from something like @Solid?
Modelence App Builder
@nuseir_yassin1 One of the biggest differences is that instead of relying on existing framework and platform combinations, we built a custom open-source framework and cloud designed specifically for the AI era. This enables us to generate applications with a guaranteed working setup out of the box.
Documentation.AI
Congrats on the launch. Who is Modelence built for? Are you targeting devs and builders or largely non-coders?
Modelence App Builder
@roopreddy Modelence is built for both non-coders and developers. You can build an application from a prompt using the App Builder, or deploy a Modelence framework-based application using the Cloud Environment deployment flow. The latter is more for engineers who prefer to code and build in their local IDE.
ConnectMachine
What does it specialise for? Websites, web app, mobile app or chrome extensions?
Modelence App Builder
@syed_shayanur_rahman Right now, it's web-only and more focused on complex web applications, though you can also build simple websites using Modelence. We've already noticed several users successfully building Chrome extensions with it as well.
Congratulations. What is the DevOps agent and how will it work?
Modelence App Builder
@zerotox DevOps Agent is in development and will run in your cloud environment, understand the framework end-to-end, and use observability data to automatically act on errors, alerts, and incidents. For example, if your app crashes, it will analyze logs, CPU/memory usage, cron jobs, and other resources, detect the cause of the issue, and even autofix it.