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.
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Yooo, can I integrate/connect my own MCP servers to this? I've been trying to do that in a lot of these vibe-coding tools but they just don't have a decent enough client
@shubhampalriwala We have our own MCP for developing using the Modelence Framework. So you can connect it to your IDE and develop apps with Modelence. We also plan to launch an MCP for Modelence studio, so you can even deploy/monitor/scale.
@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.
@vahan_melkonyan Thanks, and thanks for the question. What sets us apart is that we built a custom open-source framework (https://github.com/modelence/modelence) and cloud from the ground up for the AI era, rather than relying on existing frameworks and platform combinations. This gives us full control over the stack, ensuring a guaranteed working setup out of the box - no broken dependencies or configuration issues. Also, most app builders today are great at generating frontend code, but the backend is where things break. Modelence is built to cover that gap.
@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.
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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.
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Congrats on the launch, @artahian! How does the auto-fixing of the DevOps agent look like? Curious to know
@neilverma Great question! Imagine a scenario where your application crashes. The DevOps agent automates the same steps an engineer or DevOps specialist would take: it reads logs, analyzes CPU/memory profiling, reviews telemetry data, and examines the performance of methods, API endpoints, and cron jobs. In most cases, this data is enough to identify the root cause. From there, the DevOps agent will either suggest a fix (e.g., resolving a data inconsistency or adjusting a configuration variable) or attempt an autofix - such as updating a database index, disabling a specific cron job, tuning configuration parameters, or autoscaling servers or databases. In more complex cases DevOps agent can find the bug in the code based on the application logs and submit a PR with the fix :)
Yooo, can I integrate/connect my own MCP servers to this? I've been trying to do that in a lot of these vibe-coding tools but they just don't have a decent enough client
Modelence App Builder
@shubhampalriwala We have our own MCP for developing using the Modelence Framework. So you can connect it to your IDE and develop apps with Modelence. We also plan to launch an MCP for Modelence studio, so you can even deploy/monitor/scale.
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.
Cauldron
Congrats! Wondering how this stacks up vs Replit, Lovable or other app builders. What's your take?
Modelence App Builder
@vahan_melkonyan Thanks, and thanks for the question. What sets us apart is that we built a custom open-source framework (https://github.com/modelence/modelence) and cloud from the ground up for the AI era, rather than relying on existing frameworks and platform combinations. This gives us full control over the stack, ensuring a guaranteed working setup out of the box - no broken dependencies or configuration issues.
Also, most app builders today are great at generating frontend code, but the backend is where things break. Modelence is built to cover that gap.
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.
Congrats on the launch, @artahian! How does the auto-fixing of the DevOps agent look like? Curious to know
Modelence App Builder
@neilverma Great question! Imagine a scenario where your application crashes. The DevOps agent automates the same steps an engineer or DevOps specialist would take: it reads logs, analyzes CPU/memory profiling, reviews telemetry data, and examines the performance of methods, API endpoints, and cron jobs. In most cases, this data is enough to identify the root cause. From there, the DevOps agent will either suggest a fix (e.g., resolving a data inconsistency or adjusting a configuration variable) or attempt an autofix - such as updating a database index, disabling a specific cron job, tuning configuration parameters, or autoscaling servers or databases.
In more complex cases DevOps agent can find the bug in the code based on the application logs and submit a PR with the fix :)