You will get a self-hosted AI agent deployed and configured on your VPS


Project details
Running an AI agent on your own VPS gives you control over its environment, tools, data, and availability—but installation is only the first step. Provider configuration, messaging access, permissions, persistence, and reliable startup must work together. I will deploy and configure a self-hosted AI agent on your Ubuntu VPS, using Hermes Agent by Nous Research when it fits the use case. You will receive a working setup, verified access, baseline safeguards, and a practical handoff guide—not a half-configured repository. Depending on the package, I can connect an LLM provider, configure a private Telegram interface, restrict access to approved users, install the gateway as a service, set up backups and logs, and connect one compatible existing MCP server or simple documented API. My background is in production backend systems, SaaS platforms, API integrations, queues, databases, and cloud infrastructure. I approach the agent as a maintainable product component rather than a one-off demo. Please message me before ordering with your VPS OS, preferred model provider, access channel, and main use case so I can confirm the right package.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$149
|
Standard
$299
|
Advanced
$549
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code | - | - | - |
Frequently asked questions
About Illia
Senior PHP/Laravel Backend Engineer | SaaS & AI Automation
Chisinau, Moldova - 2:29 pm local time
I am a senior PHP/Laravel backend engineer with commercial experience since 2020 and strong product ownership. I work best on backend-heavy SaaS, e-commerce, marketplaces and expert platforms where the hard part is not only writing code, but deciding what to build, modelling it correctly and shipping a complete workflow.
I can help with:
• Laravel/PHP backend architecture and development
• SaaS, multi-tenancy, subscriptions and access control
• E-commerce: catalog, checkout, payments, inventory and webhooks
• REST APIs, CRM/ERP and third-party integrations
• PostgreSQL/MySQL, Redis, queues, search and performance
• Docker, CI/CD, automated tests, observability and production readiness
• AI-assisted workflows, agents and governed backend integrations
Selected proof:
• Built and operate ShenQi Space end to end: product logic, Laravel backend, product surface, infrastructure, payments, subscriptions, CMS/SEO and analytics. By Aug 12, 2026, it had 145 registered users, 15 completed orders, EUR 469.60 in tracked site revenue and 3 active subscriptions.
• Architected Nexora across 33 commerce modules and around 250 test files; delivered a working staging environment ready for load validation.
• Served as architect and delivery lead for DontWorry, a multi-tenant monitoring SaaS, through production deployment, internal testing and handoff.
• Introduced Docker-based environments, CI/CD, testing, static analysis and shared engineering conventions across product delivery.
My AI workflow is controlled rather than “prompt and hope”: requirements, architecture, permissions, code review, tests and release accountability remain human-owned.
If you have a complex Laravel product, a backend that needs structure or a business process that should become a reliable system, send me the current context and the result you need. I will help identify the shortest practical path to production.
Steps for completing your project
After purchasing the project, send requirements so Illia can start the project.
Delivery time starts when Illia receives requirements from you.
Illia works on your project following the steps below.
Revisions may occur after the delivery date.
Scope and compatibility review
Confirm the selected package, use case, VPS compatibility, model provider, access channel, and exact acceptance criteria.
VPS deployment
Prepare the agreed non-root environment, install the self-hosted agent, and configure reliable startup.