GroundRecall is a human-reviewable/AI usable knowledge layer with capabilities to meet or exceed 'llmwiki' with 'v2' specifications, plus an import path for existing llmwiki instances, and integration with Didactopus for review workflows and knowledge merging.
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README.md

GroundRecall

GroundRecall is a human-reviewable/AI usable knowledge layer with capabilities to meet or exceed 'llmwiki' with 'v2' specifications, plus an import path for existing llmwiki instances, and integration with Didactopus for review workflows and knowledge merging.

GroundRecall can also import normalized doclift bundles directly when the source material began as legacy office documents and you want a provenance-aware knowledge import without going through a learner pack first. See docs/quickstart.md for the minimal doclift -> GroundRecall flow.

GroundRecall can now also export a pack-ready groundrecall_query_bundle.json for a reviewed concept so Didactopus can carry that concept context into a learner-facing pack:

python -m groundrecall.export /path/to/groundrecall-store /tmp/groundrecall-export \
  --pack-ready-concept channel-capacity

The matching Didactopus bridge flow is:

didactopus doclift-bundle-groundrecall \
  /path/to/groundrecall-store \
  channel-capacity \
  /tmp/doclift-bundle \
  /tmp/didactopus-pack \
  --course-title "Example Course"

See:

  • docs/quickstart.md
  • docs/didactopus-bridge.md