Deterministic, cited knowledge graphs from your documents.

Local-first. Byte-level provenance on every edge. Zero LLM by default — so the same corpus always yields a byte-identical graph you can audit and re-verify.

Open the interactive demo → GitHub PyPI Changelog

pip install textgraph-kg

Every claim is cited

Each edge carries a re-verifiable [doc:byte-span] citation — re-hash it against the source and it still matches.

Decisions & provenance

WHY/DECISION/ADR markers become a queryable causal chain; export a W3C PROV-O audit trail.

Conflicts, never silent

Contradictory single-truth claims are surfaced for review, resolved only on an explicit, non-destructive policy.

Bring your own scale

Optional GQL, vision retrieval, access control, and Graph-of-Thoughts reasoning — each an opt-in module.