Self-Hosted Agentic AI
“Persistent Agents That Work For You”
Autonomous agents are most useful when they're persistent, private, and actually under your control. We deploy and operate self-hosted agents, Hermes Agent by Nous Research, OpenClaw, and custom stacks, with long-term memory and the model backend of your choice, reachable from the channels your team already uses. No telemetry, no cloud lock-in, and full audit logging on every action they take.
Hosted assistants you can't fully trust.
Hosted AI assistants are easy to start with and hard to depend on. Your prompts and data flow through someone else's servers, the model can change underneath you without warning, and the agent forgets everything the moment a session ends. For anything you would actually build a workflow around, that is a shaky foundation.
What teams increasingly want is an agent that is genuinely theirs: one that remembers across conversations, runs on infrastructure they control, talks to the channels they already use, and doesn't phone home. The technology to do this now exists. The challenge is deploying and operating it reliably, with the right guardrails in place.
Agents that are genuinely yours.
We deploy self-hosted agents, Hermes Agent by Nous Research, OpenClaw, or a custom stack, with persistent memory so they accumulate context and get more useful over time instead of resetting every session. They run wherever you want, from a low-cost VPS to your own GPU rack, and reach your team through Slack, Telegram, WhatsApp, Discord, Signal, email, or CLI.
Because the agent backend is model-agnostic, you are never locked in. Point it at Nous Portal, OpenRouter, NVIDIA NIM, Hugging Face, OpenAI, or your own endpoint, and swap as the landscape changes. We scope tools and permissions tightly, log every action for audit, and keep the whole thing private by default: no telemetry, no third-party data sharing.
Everything you need, engineered to production standards.
We deploy and operate self-hosted autonomous agents (Hermes Agent by Nous Research, OpenClaw, and custom stacks) with persistent memory and your choice of model backend, fully under your control and private by default.
- Hermes Agent & OpenClaw deployment with self-improving skills and persistent memory
- Model-agnostic backends: Nous Portal, OpenRouter, NVIDIA NIM, Hugging Face, OpenAI, or your own endpoint
- Multi-channel gateways: Slack, Telegram, WhatsApp, Discord, Signal, email, and CLI
- Runs anywhere, from a low-cost VPS to your on-prem GPU rack
- Guardrails, tool & permission scoping, and full audit logging
- Private by default: no telemetry, no cloud lock-in
“Always-on agents that compound knowledge over time”
We engineer for production from day one, then transfer ownership so the capability stays with your team.
Built for the problems you're actually facing.
- 01 An always-on assistant in Slack, Telegram, or WhatsApp
- 02 Agents that compound knowledge with persistent memory
- 03 Private deployments with no telemetry or cloud lock-in
- 04 Model-agnostic backends you can swap without rewrites
The stack we reach for.
Battle-tested tools, chosen to fit your team and constraints, never technology for its own sake.
- Hermes Agent
- OpenClaw
- OpenRouter
- NVIDIA NIM
- Hugging Face
- Persistent Memory
Why teams pick AzeniQ for this.
Private by default
No telemetry, no third-party data sharing, no cloud lock-in. The agent and everything it touches stay on infrastructure you control.
Memory that compounds
Persistent memory means the agent accumulates context and gets more useful over time, instead of forgetting everything when a session ends.
Model-agnostic, swap anytime
Point the agent at any backend, Nous, OpenRouter, NIM, Hugging Face, OpenAI, or your own, and change it later without a rewrite.
Engagements designed to leave you stronger.
Every service follows the same disciplined path: de-risk fast, engineer for production, then transfer ownership.
Frame & de-risk
We pressure-test the goal, define measurable outcomes, and ship a focused proof-of-concept fast.
Engineer to production
Hardened, observable, cost-aware systems built on AWS/Azure/GCP with security by default.
Transfer & scale
We embed the practices and mentor your team so the capability stays in-house.
Answers before you ask.
Why self-host instead of using a hosted assistant?
Control and privacy. Self-hosting keeps your prompts and data on your infrastructure, protects you from a hosted model changing underneath you, and lets the agent keep persistent memory, none of which you fully get from a hosted product.
Which models can it run on?
Any of them. The backend is model-agnostic, Nous Portal, OpenRouter, NVIDIA NIM, Hugging Face, OpenAI, or your own endpoint, so you choose on cost and quality and switch later without rebuilding.
Where can we talk to the agent?
Through the channels you already use, Slack, Telegram, WhatsApp, Discord, Signal, email, and CLI, so it fits into how your team works instead of adding yet another app.
How do you keep an autonomous agent safe?
We scope its tools and permissions tightly so it can only do what it is allowed, log every action for audit, and keep it private by default. The autonomy is bounded and observable, not a black box.
More of what we do.
Ready to Build The Future Together?
Tell us where you're headed. We'll map the fastest secure path from idea to production.