Graphify-Labs/graphify
Graphify turns any codebase, including documentation and other files, into a queryable knowledge graph using local AST parsing, without relying on vector stores or embeddings.
Awesome AI Agents › Knowledge Graph Orchestration
Hawksight-AI/semantica
Semantica is an open-source, self-hostable Python platform providing graph-native infrastructure for context and accountable AI systems, described in its README as an open source Palantir for AI agents. It ingests enterprise data, extracts the entities and relationships that matter, builds a context graph and a knowledge graph, and runs graph analytics and causal reasoning over them with decision provenance recorded throughout. The layer sits underneath an LLM, vector store and agent framework and is deterministic: no language model is required for graph construction, reasoning or provenance. Documented capabilities include context graphs that make everything an agent knows, decides and reasons about queryable; decision intelligence in which every decision is a first-class object that is traceable, searchable by precedent and causally linked; governance and ontology tooling with SHACL constraints, conflict detection, compliance rules, OWL generation and SKOS vocabulary management through a visual editor; full auditability using W3C PROV-O provenance on every fact with audit trails exportable to JSON, CSV or RDF; and deterministic reasoning through forward chaining, a Rete network, Datalog and SPARQL with explainable inference paths. Storage is polyglot with support for both RDF and labelled property graphs and adherence to W3C standards, so backends remain swappable and there is no vendor lock-in. Integrations cover Databricks Unity Catalog and Snowflake, letting warehouse tables become a governed, lineage-tracked knowledge graph without exporting data to a third-party SaaS. During graph construction, conflicting or contradictory facts are flagged instead of being silently overwritten and duplicates are merged before they become noise. A Knowledge Explorer interface shows the live graph, decisions, entity resolution and an ontology hub. Intended users are AI and ML platform teams shipping agents that make consequential decisions, data platform teams, compliance, risk and audit functions, and regulated enterprises in finance, healthcare, legal, government and defence. It installs with pip, requires Python 3.8 or newer and is MIT licensed.
https://github.com/Hawksight-AI/semantica
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