noahbfreedman-cloud/ShelfAI
The document-ops layer for agent context. Abstracts, chunking, and a learning loop for skill files.
Applies semantic chunking and tiered abstracts to agent skill files, enabling selective loading based on task relevance rather than reading entire monolithic documents. Operates as a preprocessing layer that pairs with retrieval systems—files flow through ShelfAI's structuring pass before reaching QMD/Hermes/SuperMemory, gaining 60%+ token savings through chunking. Features a self-improving learning loop where agents extract operational insights from sessions and rewrite their own abstracts and file structure, creating feedback between usage patterns and organization.
Available on PyPI.
Stars
4
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 27, 2026
Commits (30d)
0
Dependencies
5
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