๐Ÿง KRUSCH DEV

Systems & AI Infrastructure

Kevin Ruschman

Kevin Ruschman

Distributed Systems & Database Architect

I am Kevin Ruschman, a systems developer building secure, self-hosted data solutions. By running databases directly on your own local server instead of public cloud platforms, I guarantee that sensitive company data remains completely private, secure, and off the public internet.

I specialize in building "Company Brains"โ€”centralized, intelligent knowledge hubs that securely ingest all of a business's internal manuals, documents, and historical records. To prevent AI "hallucinations" (making up incorrect info), I design zero-trust retrieval systems: when a user asks a question, the AI retrieves answers directly from your specific internal files rather than relying on the model's pre-trained public weights. This ensures that every response is factually accurate, verifiable, and private.

Once a brain is enabled, I connect it to custom automation workflows. This allows the system to not only answer questions, but also proactively draft documents, trigger scheduled task scripts, file reports, and route operational workflows across your network based on real-time organizational intelligence.

Interested in a Custom Brain? Whether you are a business owner looking for a secure corporate knowledge hub, a homeowner wanting a private offline family portal, or an individual seeking a sovereign personal assistant, feel free to reach out to discuss a self-hosted implementation tailored to your needs.

Distributed Databases Company Brain Ingestion Local LLM Context Zero-Trust Architecture

Featured Projects

SpectralQuant-Ollama-Bridge

A lightweight proxy integrating SpectralQuant's memory compression with Ollama, enabling execution of LLMs with massive context windows on consumer GPUs.

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krusch-context-mcp

A Zero-Trust Model Context Protocol (MCP) server for coding agents, featuring local semantic codebase search, episodic memory recall, and hallucination-free project RAG.

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krusch-cascade-router

A speculative LLM routing engine designed to optimize latency-sensitive local tasks and dynamically offload complex prompts to high-performance compute nodes.

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Articles & Technical Insights

๐Ÿš€ Going 100% Cloud-Native: Infinite AI Agent Memory

Decoupling AI coding agent working memory into Polygres.com (PostgreSQL + pgGraph + HNSW) and OpenRouter.ai cloud embeddings for zero VRAM load and infinite global context.

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๐Ÿง  Beyond Simple RAG: What Makes krusch-context-mcp Special

Exploring the 5 key innovations of krusch-context-mcp: temporal recency decay, holographic steering nuggets, company brain consensus, lakebase SQLite sync, and AI Watch research engines.

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