Graph-Native Infrastructure for Context and Accountable AI Systems
The Open Source Palantir for AI Agents
A structured, queryable graph of everything your agent knows, decides, and reasons about
Every decision is a first-class object: traceable, searchable by precedent, and causally linked
SHACL constraints, conflict detection, compliance rules, OWL generation, and SKOS vocabulary management
W3C PROV-O provenance on every fact, with audit trails exportable to JSON, CSV, or RDF
Forward chaining, Rete network, Datalog, and SPARQL with fully explainable paths, not black boxes
Multi-source ingestion, entity-aware chunking, NER/relation extraction, and knowledge graph construction
pip install semanticafrom semantica.context import ContextGraph
graph = ContextGraph(advanced_analytics=True)
# Every agent decision becomes a queryable, auditable knowledge node
decision_id = graph.record_decision(
category="vendor_selection",
scenario="Choose cloud provider for HIPAA workload",
reasoning="AWS offers BAA, mature HIPAA tooling, and existing team expertise",
outcome="selected_aws",
confidence=0.93,
)
# Ask "why did this happen?" and get a real, structured answer
chain = graph.trace_decision_chain(decision_id) # full causal ancestry
similar = graph.find_similar_decisions("cloud vendor", max_results=5) # precedents
impact = graph.analyze_decision_impact(decision_id) # downstream influence map
compliant = graph.check_decision_rules({"category": "vendor_selection"}) # policy gateNative connectors for Databricks and Snowflake, so tables already living in your lakehouse or warehouse become graph nodes with provenance
RDF triple stores (Oxigraph, Blazegraph, Apache Jena, Eclipse RDF4J) and Labeled Property Graphs (Neo4j, FalkorDB, Apache AGE, AWS Neptune)
Explore any graph, ontology, or timeline in an interactive browser workbench with force-directed layouts and temporal scrubbers
Loan underwriting audit trails, fraud detection, AML compliance, regulatory risk knowledge graphs
Clinical decision support, drug interaction graphs, and patient safety audit trails
Evidence-backed research, contract analysis, case law reasoning, and privilege tracking
Policy decision records, classified information governance, and regulatory reporting
Threat attribution, incident response timelines, and IOC provenance tracking
Decision logs, safety validation, and explainable AI for certification
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