You will get Deploy a Self-Hosted AI Agent on Your VPS
Project details
Most AI agent setups look great in a demo, then quietly stop working within a few days once nobody is watching. This project fixes that by deploying Hermes Agent or OpenClaw directly on your own VPS with proper auto-restart, health monitoring, and persistent memory, so it survives reboots, network hiccups, and time. I handle secure credential setup, connect the agent to your channel of choice (Telegram, Slack, Discord, or WhatsApp), and hand over clean documentation so you actually understand and own what is running, not depend on me to keep it alive. Every step stays visible in the project workroom, and support continues after delivery based on your tier. If you want an AI agent that works while you sleep instead of one you have to babysit, this is built for exactly that.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Chainer, deeplearn.js, Deeplearning4j, Google AutoML, Keras, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$79
|
Standard
$199
|
Advanced
$399
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 3 | 10 | 15 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Frequently asked questions
About Mustapha
AI Agent Developer | Agentic Automation & OpenClaw
Olupona, Nigeria - 10:22 am local time
What I build:
Multi-agent AI systems and agentic workflows using Python, TypeScript, and modern orchestration frameworks (LangChain, Model Context Protocol / MCP)
Retrieval-Augmented Generation (RAG) pipelines with vector databases for grounded, accurate agent responses
Automation pipelines using n8n, Make, and Zapier, integrated via REST APIs and custom API integrations
LLM-powered agents on OpenAI API and Claude/Anthropic, including Hermes and OpenClaw deployments
Backend infrastructure with FastAPI and PostgreSQL, deployed on AWS
Knowledge management systems, SOP documentation, and long-term memory architecture so agents get smarter over time
Integrations with the tools businesses actually run on: Notion, Airtable, ClickUp, Google Workspace, and Salesforce
How I work: I design for prompt engineering discipline, secure/permission-based access, and (where needed) voice-and-chat interfaces, so the system is something you'd actually trust to run daily executive briefings or hand off recurring work to, not just a demo.
If you need an AI agent, an agentic automation pipeline, or a multi-agent "AI operating system" built and actually shipped to production, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Mustapha can start the project.
Delivery time starts when Mustapha receives requirements from you.
Mustapha works on your project following the steps below.
Revisions may occur after the delivery date.
Review your requirements
Review your requirements and confirm scope (Hermes Agent vs. OpenClaw, channel, goal)
main work
Install and configure the agent with your chosen AI model and connect your channel