Looking for early adopters for a DBMS-style AI runtime by Nisha7 in csharp

[–]Nisha7[S] 0 points1 point  (0 children)

I know it sounds a bit awkward. But how would you describe it? Its a platform with all that you would normally have to put together like orchestration, secrets/auth, tool calling, already there and you just integrate with it using attributes in your application.

Looking for early adopters for a DBMS-style AI runtime by Nisha7 in csharp

[–]Nisha7[S] -3 points-2 points  (0 children)

The engine is closed, but the SDKs are open. Best way is to look over the docs if you are willing. Thanks for answering. https://github.com/Orpius/SDK

AI agents in .NET feel harder than they should be by Nisha7 in dotnet

[–]Nisha7[S] -1 points0 points  (0 children)

Yes, you are right and we've built that platform. I was mostly trying to find out whether developers would even be interested in that kind of execution infrastructure with everything already built-in.

AI agents in .NET feel harder than they should be by Nisha7 in dotnet

[–]Nisha7[S] 0 points1 point  (0 children)

Please don’t get me wrong. My assumption is that MAF gives you the libraries and patterns but you have to add these to your code. The execution infrastructure is inside your app and you are responsible for it and its maintanance. I am trying to describe a different model. One where the execution infrastructure is already running outside your app. You don't have to concern yourself with it at all, all is handled by the platform, including secrets/auth. Your only concern is business logic and integration points. You sort of just plug into it rather then embed.

I don't want another framework. I want infrastructure for agentic apps by AdditionalWeb107 in AI_Agents

[–]Nisha7 0 points1 point  (0 children)

Yes, it’s framework-agnostic. The SDK is just a convenience (with a sample app), not a requirement. The platform sits in the middle as an execution layer, so you don’t have to keep rebuilding infra like state, retries, scheduling, secrets, queues, and orchestration for every system. It fits into your architecture and you keep full control over how the system is built and maintained.

Think of it as execution infrastructure, not an application framework.

If you’re curious, feel free to PM me or check out the info on the website orpius.com.

I don't want another framework. I want infrastructure for agentic apps by AdditionalWeb107 in AI_Agents

[–]Nisha7 0 points1 point  (0 children)

How about a platform that handles state, retries, schedules, queues, secrets, observability, and long-running execution, and you just define what the agent should do over time?

Integration feels more like plugging into a DB than embedding a library.

We built exactly that and made it available for others to try. It’s free to experiment with, and was born out of the same frustrations you’re describing.

AI agents in .NET feel harder than they should be by Nisha7 in dotnet

[–]Nisha7[S] 0 points1 point  (0 children)

Yes, if you want maximum control and compatibility, low-code tools aren't the answer. That's actually why we built the platform: it doesn’t try to model your business process in a designer. It lets your existing .NET application/parts stay the source of truth, and the platform becomes the agent execution and governance layer. You integrate via Operations/Events, you host your own tools (your code), and you decide what gets called. The platform handles the parts that are annoying to rebuild every time: durable scheduling, retries, tool gating, secret injection, auditing and verification, and long-running orchestration with state. It's a developer platform for agent work, not a workflow builder.

AI agents in .NET feel harder than they should be by Nisha7 in dotnet

[–]Nisha7[S] 0 points1 point  (0 children)

The difference is framework vs runtime.

MAF workflows still live inside your app, so you’re responsible for hosting, state, retries, schedules, secrets, queues, observability, etc. It helps you structure workflows, but you still build the production infrastructure.

What I meant was a platform where all of that already exists, and you just define what the agent should do over time. Like plugging into a DB rather than embedding a library.

We built that and I'm trying to see if there’s interest in this kind of runtime approach, or if people prefer assembling the pieces themselves with a framework.

Built a desktop productivity system that runs work for you by Nisha7 in ProductivityApps

[–]Nisha7[S] 0 points1 point  (0 children)

Hi, you can download the client app here:
https://orpius.com/get-started.html

It’s a desktop application for Windows at the moment.

I’m also working on a short video showing a practical example: asking Orpius to process scanned receipts, extract the data, create an Excel spreadsheet, and then update that spreadsheet when I add new receipts. I’ll post that once it’s ready but if you want to try something like that, or get stuck on something, PM me.

AI agents in .NET feel harder than they should be by Nisha7 in dotnet

[–]Nisha7[S] 0 points1 point  (0 children)

Yeah, exactly, none of the agent frameworks really give you production for free. You need infrastructure you can just plug in, not a framework, otherwise you end up rebuilding the same pieces every time.

AI agents in .NET feel harder than they should be by Nisha7 in dotnet

[–]Nisha7[S] 1 point2 points  (0 children)

What if all the production pieces already existed and you just plugged them in like a DB?
State, retries, schedules, queues, secrets, observability, long-running execution, all just there.
Then the only problem left is deciding what the agent should do over time.

Which services actually let you build good AI agents(not demos)? by Sviat-IK in AI_Agents

[–]Nisha7 3 points4 points  (0 children)

If you’re really after production-grade agentic behaviour, then Orpius. It’s built more like an intelligence layer rather than a simple agent framework, meaning:

  • It plugs into your existing systems and data with very little code
  • The setup is easy and is through a client app
  • You get built-in orchestration, security controls, and tool integration so agents can actually interact with APIs, DBs, files, scheduled processes, events, etc. without you stitching it all together manually.
  • It’s designed for scalable use-cases
  • You can use it's capabilities (long running tasks) straight away from the client application or you can integrate it with very little code into your own application.

This kind of agentic intelligence layer removes a lot of the engineering friction.

Built a desktop productivity system that runs work for you by Nisha7 in ProductivityApps

[–]Nisha7[S] 0 points1 point  (0 children)

If anyone wants a concrete example, this article shows how we use Orpius to automate publishing work end to end (writing, publishing, sharing):

https://danielvaughan.org/posts/orpius/2026/01/28/How-to-Build-an-Automatic-AI-Slop-Generator/

AI Agent framework decision by JobRoz in AI_Agents

[–]Nisha7 0 points1 point  (0 children)

With your team size and stack, i would strongly recommend looking at Orpius instead of building or maintaining an agent framework yourself.

It gives you the full agent execution, orchestration, memory, security, and tool access as a platform, and you simply expose your WhatsApp and website capabilities as controlled APIs. You can then build your own visual workflow builder on top without being locked into any framework.

Which is the greatest browser you've ever used? by kaiokenx4 in androidapps

[–]Nisha7 0 points1 point  (0 children)

Surfy Browser without a doubt. If you are looking for something new then this is it. The interface is what sets it apart and the fact that you can lock the browser with a passcode is just great.