qualixar/superlocalmemory
World's first local-only AI memory to break 74% retrieval and 60% zero-LLM on LoCoMo. No cloud, no APIs, no data leaves your machine. Additionally, mode C (LLM/Cloud) - 87.7% LoCoMo. Research-backed. arXiv: 2603.14588
Implements a hybrid retrieval architecture combining Fisher-Rao geodesic distance (information geometry), BM25 keyword matching, entity graph spreading activation, and temporal indexing with RRF fusion and cross-encoder reranking — entirely replacing cloud LLM dependency with mathematical guarantees from differential geometry and algebraic topology. Offers dual MCP + CLI interfaces for IDE integration and agent-native JSON output, with three operating modes (A: zero-cloud, B: local Ollama, C: optional cloud) supporting frameworks like Claude, Cursor, and custom agent pipelines. Designed for EU AI Act compliance and achieves 85% on open-domain retrieval without any cloud calls or GPU requirements.
32 stars and 4,841 monthly downloads. Used by 1 other package. Available on PyPI.
Stars
32
Forks
2
Language
Python
License
—
Category
Last pushed
Mar 18, 2026
Monthly downloads
4,841
Commits (30d)
0
Dependencies
9
Reverse dependents
1
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