We build persistent memory systems for AI agents. MCP-native, local-only, no cloud dependency. The problem: every AI session starts from zero. Cloud vector databases add latency and network dependency. We built something different. CASCADE ($400) - 6-layer structured memory with importance scoring and temporal decay. Sub-millisecond access. Episodic, semantic, procedural, and working memory in one system. PyTorch Memory ($600) - GPU-accelerated semantic vector search. Sub-2ms retrieval across thousands of memories. CUDA-optimized. Hebbian Mind ($800) - Associative memory that learns how you think. Edges strengthen through co-activation. No retraining. Self-organizing concept graphs. The CIPS Stack ($1,500) - All three plus unified cognitive search and pre-token gating. One install. Free open source tier available (MIT). Enterprise licensing is per-developer. All products are MCP servers - work with Claude, ChatGPT, Gemini, Cursor, Windsurf, or any MCP-compatible client. Docker deployment included. https://cipscorps.io/#