AI and Intelligent Automation
NPC-IT builds AI systems that ship to production. Autonomous agents, LLM infrastructure, and automation pipelines with documented architectures and deployed endpoints.
Capabilities
| Capability | What It Means |
|---|---|
| Multi-Agent Orchestration | Agents that decompose tasks, generate code, administer servers, and coordinate across toolchains |
| LLM Infrastructure | Model deployment, API integration, RAG pipelines with documented retrieval strategies |
| MCP Protocol Integration | Model Context Protocol servers connected to your existing toolchain |
| Custom Chat Interfaces | Branded AI platforms with theme systems, database migrations, and endpoint testing |
| Agentic Memory Systems | Persistent memory, session management, implicit personalization from conversation context |
| Character AI | Personality-driven agents with modular architecture and clean API boundaries |
Infrastructure
NPC-IT operates a self-hosted AI infrastructure stack:
| Component | Purpose |
|---|---|
| Hermes Agent | Primary AI orchestration and agent management |
| Open WebUI | Chat interface with custom theming and model management |
| MCP Servers | Extensible tool access and service integration |
| Docker | Containerized deployment and service orchestration |
Deployment Pipeline
Architecture gets specified first. Agents are built modularly with clean separation of concerns. APIs get connected, MCP servers get configured, authentication gets wired in. The system deploys in containers with monitoring and logging. Then we tune performance, refine prompts, and expand capabilities as needed.
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