Vektor Memory
Local-first persistent memory MCP server for AI agents with semantic search, graph retrieval, and autonomous memory compression.
About
Vektor Memory is a local-first persistent memory architecture for AI agents featuring semantic search, graph-based retrieval, and autonomous dream cycles for memory compression. It provides 44 MCP tools covering memory storage and recall, CLOAK web scraping, identity and behavior management, multimodal capabilities, and agent execution. Processing occurs entirely locally using SQLite and ONNX embeddings with sub-1ms retrieval latency. Available via CLI, Claude Desktop extension (DXT), and as an MCP server with commercial licensing.
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