Semantica v0.4.0: Temporal intelligence and Agentic AI Semantica is a framework for building context graphs and decision intelligence systems with explainability and provenance. It transforms AI agents from black boxes into trustworthy, auditable systems by providing structured knowledge representation, complete decision tracking, and end-to-end lineage. Perfect for high-stakes domains where every answer must be traceable: healthcare, finance, legal, cybersecurity, and government. 🕐 Temporal Intelligence Bi-temporal model baked into the core — valid time + transaction time on everything. Query your graph at any point in history. Full Allen interval algebra — deterministic, zero LLM calls. Extract temporal metadata from text with calibrated confidence scores. 🤖 Agentic AI with Agno Graph-backed persistent agent memory. Multi-hop GraphRAG for agent knowledge retrieval. Decision-intelligence & KG pipeline toolkits agents can call natively. Shared memory across entire agent teams, role-scoped. 🧠 Datalog-Style Reasoning Recursive Horn clause rules — ancestor(X,Y) :- parent(X,Z), ancestor(Z,Y). Handles transitivity & self-joins that loop forward/backward engines indefinitely. O(1) delta-index — re-evaluates only what changed. 🔌 Novita AI Provider create_provider("novita") — OpenAI-compatible, plug-and-play. Default: deepseek/deepseek-v3.2, configure via NOVITA_API_KEY. 🔍 Knowledge Explorer API 20+ REST endpoints — graph traversal, analytics, decisions, SPARQL export. SKOS vocabulary browsing + RDF/OWL import. WebSocket real-time progress · launch with one command. ✅ Ontology & Validation SHACL shape generation — zero hand-authoring, three quality tiers. Cross-ontology alignment + structured diff with breaking-change classification. 🗂️ Named Graph Support Correct FROM / FROM NAMED clause handling in query execution. Graph URI percent-encoding, default_graph_uri alias. ⚡ Under the Hood O(N) → O(limit) pagination — no more 502s on large graphs. Full RLock thread safety across all graph paths. 6 CodeQL security findings resolved. 886 tests passing. 0 failures. By Mohd Kaif Semantica v0.4.0 — Release Notes github.com/Hawksight-AI/sema… #SemanticWeb #TemporalReasoning #MultiAgentSystems #KnowledgeEngineering #OpenSource -- 📩 The Year of the Graph Spring 2026 newsletter issue is out! Beyond Context Graphs: How Ontology, Semantics, and Knowledge Graphs Define Context 👇 yearofthegraph.xyz/newslette… All things #KnowledgeGraph, #GraphDB, Graph #Analytics / #DataScience / #AI and #SemTech. Subscribe and follow to be in the know. Reach out if you'd like to be featured

Beyond Context Graphs: How Ontology, Semantics, and Knowledge Graphs Define Context What are context graphs, what are they good for, and why are they dubbed AI’s trillion-dollar opportunity? What does context mean actually, and how can it be defined using graphs and ontologies? And how can different types of graphs and graph technologies power AI? Gartner highlighted Data Management, Semantic Layers, and GraphRAG as Top Trends in Data and Analytics for 2026. Startups and incumbents in the graph technology space are making progress, while graph is becoming the fastest growing segment in AI research. A comprehensive, up-to-date repository, visualization, and analysis of offerings across the graph technology space has been unveiled. New and existing combinations of Graphs and AI are being used to power use cases such as software engineering productivity and supporting enterprise needs at Netflix scale. New graph database products, features, and benchmarks are available. Use cases as well as research and development on ontologies are on the rise too, including topics such as Enterprise Architecture, visual tooling, and quality assessment for LLM-assisted use of ontologies. And yet, the most widely discussed topic in the world of graph technology – and beyond – for this past couple of months has been context graphs. So what are context graphs and where do they fit in the graph technology landscape? In this issue of the Year of the Graph, we explore progress in Ontology, Semantics, Knowledge Graphs, Graph Databases and Analytics, and how these technologies can help define context and power AI. Read here 👉 yearofthegraph.xyz/newslette… cc @SteveHedden @lettria @BarrasaDV @AlexanderErdl @raphaelmansuy @AvagyanVitali @shasbe @Franzinc @SurrealDB @cognee_ @michael_galkin

Semantica v.0.3: An open-source framework to ship context graphs for AI agents The Context Graph thesis became the blueprint for the development of the first stable release of Semantica: A Framework for Building Context Graphs and Decision Intelligence Layers for AI When AI agents make decisions, the rationale behind those decisions is opaque. No decision trail. No precedent. No audit. In healthcare, finance, and legal, that's a blocker, not an edge case. The Context Graph thesis: Every decision becomes a structured node with causal links, provenance, and temporal validity. Past decisions become searchable precedent. The agent stops being a black box. Semantica launched as a semantic intelligence platform that transforms unstructured data into structured, queryable knowledge graphs powering GraphRAG, AI agents, and multi-agent systems. With release v.0.3, it pivots to the direction of being able to support Context Graphs. New features: 🕐 Temporal Validity — valid_from/valid_until on nodes & edges; query what's active at any point in time 🧠 Decision Intelligence — full lifecycle: record → causal chain → impact analysis → precedent search → policy enforcement 🔗 Cross-Graph Navigation — link separate ContextGraph instances; navigate across them; survives save/load 🗃️ Deduplication v2 — 6.98x faster semantic dedup, 63.6% faster candidate generation ⚖️ Weighted BFS Traversal — filter multi-hop queries by edge confidence with min_weight 🔄 Delta Processing — SPARQL-based incremental graph diffs; only changed data flows through the pipeline 📤 New Export Formats — ArangoDB AQL, Apache Parquet (Spark/BigQuery/Databricks ready) 🗄️ Graph Backends — Apache AGE, PgVector, AWS Neptune, FalkorDB 🕸️ 30+ KG algorithms — embeddings, centrality, community detection, path finding, link prediction Github: github.com/Hawksight-AI/sema… Semantica v0.3.0 Release Notes: github.com/Hawksight-AI/sema… Semantica Initial Release: linkedin.com/feed/update/urn… #OpenSource #ContextGraph #EmergingTech #DataEngineering @BuildSemantica #OpenSource #ContextGraph #EmergingTech #DataEngineering #AgenticAI -- The Year of the Graph's Spring 2026 newsletter issue on all things #KnowledgeGraph, #GraphDB, Graph #Analytics / #DataScience / #AI and #SemTech is coming soon. Subscribe and follow to be in the know. Reach out if you'd like to be featured 👇 yearofthegraph.xyz/newslette…