LLMind blog
Announcements, technical deep dives, and notes from the LLMind team — the file enrichment engine.
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Implementing an LRFS reader in 100 lines of Python
2026-04-25
A minimal Python reader for the LLM-Ready File Specification (LRFS v1.0). Parse XMP, canonicalize layers, verify HMAC-SHA256 signatures — under 100 lines, stdlib only.
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Introducing LLMind: the file enrichment engine
2026-04-22
File enrichment engine that embeds a signed semantic layer inside files — so any AI tool can read it natively, no vector database required.
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What is an LLM-ready file?
2026-04-22
An LLM-ready file carries a signed semantic layer inside its own XMP metadata — any AI tool can read structure, entities, and text without re-parsing.