The Private
AI Memory Platform.

Every time you ask an AI a question, your data travels to a distant data center, gets processed on someone else's hardware, and a record of your query lives on infrastructure you'll never audit. For individuals, that means your personal thoughts, health records, financial details, and private conversations are one breach away from exposure. For enterprises, it means trade secrets, customer data, and proprietary research flowing through third-party systems with opaque data-retention policies.

We're building Mem-Dog to end that trade-off. A complete AI memory platform — 42 specialized agents, semantic search, a temporal knowledge graph, 300+ integrations — that runs entirely on hardware you control. Your laptop, a Mac Mini on your desk, or a server rack in your office. The AI never phones home because there's no home to phone.

Speed through smarter architecture. Instead of routing every request to a massive cloud model, Mem-Dog uses a 6-layer classification pipeline that matches each piece of data to the smallest model that can handle it well. A simple text note gets a fast 4-billion-parameter model. A complex document gets a 27-billion-parameter one. Multimodal content gets a vision model. This tiered routing means most queries finish in milliseconds on modest hardware — because you're not waiting for a 200B model to parse a grocery list.

Cost efficiency through local inference. Cloud AI bills grow linearly with usage — every token costs money. With local models running on Ollama, the marginal cost of a query is the electricity to run it. For individuals, that means unlimited personal AI for the price of a home server. For enterprises, it means predictable infrastructure costs that don't scale with headcount or query volume. No per-seat licensing. No surprise invoices.

Intelligence through better data processing. Privacy doesn't have to mean dumb. Mem-Dog's 42 agents work in concert — classifying, extracting entities, generating embeddings, building knowledge graphs, and creating AI-powered viewpoints — all locally. The result is a system that gets smarter the more you use it, building a private knowledge base that understands relationships between your data, tracks how facts change over time, and surfaces insights through multi-signal search that combines vector similarity, keyword matching, and graph traversal.