LLM Wiki — Synaptic Lattice

Semantica

Properties1
tagsentity, tool, knowledge-graph, context-graph, decision-tracking, provenance, compliance

Leitura de 3 min

Overview

Semantica is an MIT-licensed open-source context and accountability layer for AI agents. It provides context graphs, decision tracking, full provenance, reasoning engines, temporal intelligence, and an ontology hub. Designed for production AI teams, it closes the accountability gap that prevents enterprise AI deployment in regulated domains (healthcare, finance, legal, government).

Key Features

Context Graphs

  • Structured, persistent graph of entities, relationships, and decisions
  • Temporal model with valid_from / valid_until on nodes and edges
  • Queryable with SPARQL and full graph algorithms
  • Point-in-time snapshots of the full knowledge state
  • Distance Intelligence: semantic neighborhoods and N×N distance matrices

Decision Tracking

  • record_decision() captures full lifecycle and causal chain
  • Hybrid precedent search over past decisions for consistency
  • analyze_decision_impact() shows downstream consequences
  • Causal chain visualization from trigger to outcome

Full Provenance

  • W3C PROV-O compliant lineage across all modules
  • Full traceability from raw input to final inference
  • recorded_at stamping with OWL-Time export
  • Audit-ready for HIPAA, SOX, GDPR, FDA 21 CFR Part 11

Reasoning Engines

  • Forward chaining, Rete, deductive, abductive
  • SPARQL query-based inference over RDF graphs
  • Datalog with recursive Horn clause rules
  • Every conclusion backed by a traceable derivation path

Temporal Intelligence

  • Allen interval algebra: all 13 temporal relations
  • Point-in-time queries over historical graph states
  • Temporal provenance stamping on every fact
  • OWL-Time export for standards-compliant archiving

Ontology Hub

  • Visual editor for schema design and editing
  • SHACL Studio for constraint authoring and validation
  • Alignment authoring across multiple ontologies
  • Health dashboard and version control built in

Compliance & Production Ready

  • MIT-licensed: No vendor lock-in, full source auditable
  • 1,000+ passing tests with full regression coverage
  • PipelineValidator catches configuration errors at startup
  • FailureHandler with exponential backoff and dead-letter queues
  • Designed for domains where every decision must be explainable and every fact traceable

Domains

  • Healthcare & Life Sciences: Clinical decision support, drug interaction graphs, patient safety event tracking, HIPAA-compliant provenance
  • Finance & Risk: Fraud detection knowledge graphs, risk assessment trails, SOX/GDPR/MiFID II compliance, model decision lineage
  • Legal & Compliance: Evidence-backed research with provenance-linked facts, contract analysis, regulatory change tracking
  • Cybersecurity: Threat attribution graphs, incident response timelines, MITRE ATT&CK-aligned knowledge graph
  • Government & Defense: Policy decision trails, classified information handling, chain-of-custody scrutiny
  • Critical Infrastructure: Power grid state tracking, transportation safety event graphs, emergency response coordination

Integration

  • Works alongside any LLM provider and any agent framework
  • Drop-in addition to existing stacks without changing architecture
  • Imports: semantica.context, semantica.kg, semantica.reasoning, semantica.ontology, etc.
  • MCP server: 12 tools for Claude Desktop, VS Code, Cursor, Windsurf, Cline

Relationships

  • “implements” knowledge-graph — implements the knowledge graph pattern with temporal and decision-tracking extensions
  • “implements” llm-wiki — Pattern C (Graph-Backed) implements the LLM Wiki pattern on top of Semantica’s context graphs
  • “references” open-knowledge-format — uses OKF v0.2 provenance signals for source attribution
  • “differs-from” cognee — Cognee focuses on backlinks and typed relationships at scale; Semantica adds full decision tracking and temporal intelligence

Implications

Semantica represents the next evolution of the LLM Wiki pattern: from static knowledge compilation to active accountability. While the vault’s wiki compiles sources into a static Markdown knowledge base, Semantica provides a dynamic, queryable knowledge graph with full decision provenance. This enables use cases like regulated AI deployment, audit trails, and causal analysis that are difficult with compile-time wikis alone. For founders and teams building agent-native infrastructure, Semantica provides the accountability layer that makes agent coordination at scale trustworthy.

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