Neural memory diagnostics engine based on the Markov Embedding Theorem (MET). Includes a Python library, a 17-tool Model Context Protocol (MCP) server for LLMs, and a cross-platform desktop GUI.
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Updated
Jun 6, 2026 - Python
Neural memory diagnostics engine based on the Markov Embedding Theorem (MET). Includes a Python library, a 17-tool Model Context Protocol (MCP) server for LLMs, and a cross-platform desktop GUI.
A lightweight structural memory kernel that tracks evidence identity, pattern identity, and re-activation without collapsing memory into approximate similarity.
Non-Markovian quantum dynamics solver with a Boltzmann memory kernel (MaxEnt-derived) - a diagnostic tool for open quantum systems beyond Lindblad.
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