Semantica Gained ~970 Stars in a Day Pitching Provenance-Backed Knowledge Graphs as the Answer to Unauditable Agent Memory
semantica-agi/semantica jumped roughly 970 stars on 2026-08-11 to 4,562 total (507 forks, 2,270 commits), trending second overall on GitHub. Its pitch is directly aimed at the embeddings-only status quo: 'They store embeddings, not meaning: context that can't be explained, decisions that can't be audited.' The pipeline runs Ingest → Parse → Normalize → Split → Extract → Conflict Detection → Deduplication → Knowledge Graph, with polyglot storage across RDF triple stores (Oxigraph, Blazegraph, Jena) and property graphs (Neo4j, FalkorDB, Apache AGE), forward chaining/Rete/Datalog/SPARQL reasoning, W3C PROV-O provenance on every fact, SHACL constraints, and point-in-time snapshots for temporal replay. It claims 0.004 ms node search on a 118k-node graph and 6.98× faster semantic deduplication; v0.6.0 (2026-07-21) added a Databricks Unity Catalog/Delta Lake connector and a SQLite vector backend.
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