v1.0.0

Built by CI from this tag on clean runners. Verify with the .sha256 next to each asset.

Which asset

asset	recall	for
thor-windows-x86_64.zip	semantic + bm25	Windows client (the agent machine)
thor-linux-x86_64.tar.gz	semantic + bm25	Linux client
thor-linux-x86_64-bm25.tar.gz	bm25 only	servers / NAS / containers - no ONNX

What is NOT in the box

• No embedding model. Semantic recall needs a local ONNX sentence-embedding
  model (~235 MB) that you supply; nothing auto-downloads. Without it THOR runs
  pure bm25 and degrades cleanly - it does not break. See README ("Semantic mode").
• Windows: needs the Microsoft Visual C++ Redistributable (MSVCP140.dll,
  VCRUNTIME140.dll) and DirectML.dll (present on Windows 10 1903+). If the
  binary refuses to start, install the VC++ redistributable first.

Install

Unpack, put the binary where it will stay, then thor install --with-courier to
wire the hooks into your agent (it backs up settings.json first and only adds
THOR's own entries; it writes the binary's current path, so move it before you
install). Run thor doctor if anything looks off - it reports the store, model,
sidecars and daemon, which is what recall behaviour depends on.

New here? docs/FEATURES.md explains in plain words what each part does and whether it
is worth turning on. Full walkthrough: docs/SETUP.md. Exact costs and undo steps for
every optional piece: docs/OPTIONAL-FEATURES.md.

What has actually been run

Every asset is built and tested by CI on a clean runner - build plus the full
library suite, on both shapes THOR ships in. Beyond that, the platform the
maintainer uses is started by hand before publishing; the others are CI-built.
If one does not start for you, say so - that is the report worth having.

Full Changelog: https://github.com/nworks3d/THOR-memory-bible-for-AI/commits/v1.0.0