🚀 I just built an Agent OS (and I want to show you)

Hey everyone,

After 3+ years building AI automation systems, I realized something: the bottleneck isn't the model. It's context and resources.

Better context = better agents. But here's the real problem: everything is segmented. Your agents are in Pydantic AI. Your workflows are in n8n. Your knowledge is scattered. Your execution is fragmented.

So I built AgeniusDesk, a unified platform that manages ALL of it: agents, workflows, knowledge, resources. One command center. No silos.

What is it?

A unified management layer for AI platforms, agents, and workflow frameworks (n8n, Pydantic AI, Flowise, etc.):

Multi-instance n8n visibility + control from one dashboard
AI agents (Pydantic, Claude, OpenAI, local models) as first-class citizens
Real-time error detection + AI diagnostics (catches issues before they blow up)
Agent Lab: write and debug code with AI, deploy instantly
Encrypted secrets vault (never plaintext, never exposed)
Shared resource layer: context, guardrails, execution contracts
Full local/self-hosted control (no vendor lock-in)

Built on Python + FastAPI + Vanilla JS. Docker compose ready.

Why I'm posting this here:

This community gets it. You're not asking for another no-code builder or magic button. You're building real systems, running agents in production, managing multiple deployments.

AgeniusDesk is built for that.

What I want from you:

Drop a comment and tell me: