Your data lives in a dozen places. Your AI only sees pieces of it. Semantica is the semantic layer that connects everything — turning fragmented, siloed data into a single living graph your agents can reason across, with every decision traceable and every output auditable.
pip install semanticaConnected Knowledge Semantica ingests from every source — databases, documents, APIs, internal tools — resolves entities across all of them, and unifies everything into one queryable context graph. Your agents stop seeing fragments and start seeing the whole picture.
Structured Memory A live, shared context layer across every agent and session. Not nearest-neighbour lookups — structured knowledge of what entities are, how they relate, and how they've changed over time.
Explainable Decisions Every decision is a first-class object with inputs, confidence score, and a full causal chain. Walk the reasoning in plain language, any time, for any output.
Deep Provenance Every fact carries its origin. Every output traces back through the graph to the exact data and reasoning that produced it. Built on W3C PROV-O — a complete, exportable audit trail for every decision, compliant by construction.
Grounded Responses Before the model speaks, it queries verified, sourced facts from the knowledge graph. Fabrication becomes a controlled retrieval problem, not a liability.
Temporal Intelligence Query your graph as it existed at any point in time. Understand not just what is true now, but what was true then, and when it changed.
CLI + REST API · 109 endpoints, terminal interface, interactive REPL
Knowledge Explorer · Real-time graph canvas, decision browser, entity resolution UI
MCP Server · Connects to Claude, Cursor, Windsurf, VS Code, and more
Graph Backends · Neo4j · FalkorDB · Apache AGE · AWS Neptune
100+ LLM providers via LiteLLM
Docs · Website · Changelog · Discord · Enterprise
⭐ Star on GitHub · Good first issues
MIT