---
type: Skill
title: Applied AI and AI Agents
description: Applied AI strategy, multi-agent orchestration, autonomous agent systems, semantic search, vector databases, local LLM inference, and agentic workflow design.
resource: https://felipepostigo.com/articles/building-agentic-workflow-systems-with-hermes-and-openclaw/
tags: [applied-ai, ai-agents, multi-agent, hermes, orchestrator, local-llm, vector-search]
timestamp: 2026-06-22T00:00:00Z
---

# Applied AI and AI Agents

**Type:** Skill category  
**Category:** Technical — AI/ML

## What this covers

End-to-end applied AI systems: from selecting and deploying models, to designing multi-agent orchestration, to building autonomous workflows that operate without ongoing human intervention.

## Specific capabilities

### Multi-Agent Systems
- Designed dependency resolution and parallel execution for multi-agent systems
- Built Hermes Agent Framework — autonomous agent with persistent memory, browser automation, Discord/WhatsApp messaging, Gmail automation, Kanban coordination
- Built Multi-Agent Orchestrator — open source framework for AI agent coordination

### Local LLM Inference
- vLLM, llama.cpp, and Qwen model deployment and inference serving
- Local model deployment on Dell XPS (Windows) and F:/Spark (AEON-7 NVFP4 models)
- Model selection and evaluation for agentic workloads

### Semantic Search and Knowledge
- PGLite-based vector database for semantic search (GBrain, now sunset)
- FelipeOS knowledge graph — Obsidian vault synced to iCloud and git
- RAG (Retrieval-Augmented Generation) patterns for agent grounding

### AI Workflow Systems
- Agentic workflow design: multi-step reasoning, tool use, memory persistence
- Chrome CDP browser automation for web interaction
- Android ADB automation for mobile workflows (Walmart auto-reorder)
- Cron-driven automation with Python subprocess orchestration

### AI Strategy
- Applied AI roadmapping for business operations
- AI readiness assessment and use-case prioritization
- Executive adoption of AI-grounded decision systems

## Source articles

- [Building Agentic Workflow Systems with Hermes and OpenClaw](https://felipepostigo.com/articles/building-agentic-workflow-systems-with-hermes-and-openclaw/)
- [From 80 Hours to One Person: Business Transformation Through Analytics and AI Workflows](https://felipepostigo.com/articles/from-80-hours-to-one-person-business-transformation-through-analytics-and-ai-workflows/)
- [How I Built a 6-Agent AI Operating System](https://felipepostigo.com/articles/how-i-built-a-6-agent-ai-operating-system/)

## GitHub repositories

- **Hermes Agent Framework:** https://github.com/fpostigog88/hermes-automation-suite
- **Multi-Agent Orchestrator:** https://github.com/fpostigog88/multi-agent-orchestrator

## Related concepts

- [Workflow automation](/skills/workflow-automation)
- [Forecasting and decision systems](/skills/forecasting)
- [Business intelligence](/skills/business-intelligence)
- [Projects — Hermes and Multi-Agent Orchestrator](/projects/hermes-workflows)