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AI agent memory system—pure Markdown, zero dependencies, fully local
MUSE gives AI coding agents persistent cross-session memory and multi-role governance through plain Markdown files.
Supports Claude Code, OpenClaw, Cursor, Windsurf, Gemini CLI, and Codex via one-command install. Built-in MCP Server for programmatic access.
56 skills, auto memory capture, semantic compression, role-based governance, multi-project management.
A library for Multilingual Unsupervised or Supervised word Embeddings
MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement.