Free • Open Source • Enterprise Ready

Build intelligent applications with the Semantic Operating System for AI

Transform fragmented data into AI-optimized Context Graphs. Reduce AI hallucinations with contextual grounding and superior reasoning capabilities.

Deploy Complete Agent System

Launch your entire custom agent infrastructure with a single command

$docker compose -f trustgraph_system.yaml up -d
Creating network "trustgraph_default"
Creating knowledge-graph service
Creating ai-agent-orchestrator
Creating vector-store service
Creating api-gateway service
Agent system deployed successfully!

Knowledge Graph Architecture

Transform fragmented data into interconnected Knowledge Graphs. Superior reasoning through graph-based context rather than simple vector search.

Graph-centric AI

Reduce Hallucinations

Ground your LLMs with accurate, contextual information. Eliminate AI hallucinations through intelligent context grounding.

Verified Context

Enterprise Ready Platform

Pre-built, containerized infrastructure. Modular, transparent design with end-to-end context management and MCP integration.

Open Source

How It Works

Three simple steps to build intelligent AI agents

01

Connect Your Data

Integrate enterprise data sources through our containerized platform. Transform fragmented silos into unified context.

02

Build Knowledge Graphs

Our platform automatically constructs interconnected Knowledge Graphs with semantic relationships and contextual grounding.

03

Deploy AI Agents

Build and deploy sophisticated AI agents with superior reasoning, reduced hallucinations, and transparent decision-making.

Everything You Need for Complete Agent Systems

Built-in features for production-ready AI agents—no assembly required

Knowledge Management

Intelligent data structuring and retrieval

  • Automated Knowledge Graph ConstructionTransform raw data into interconnected knowledge structures with ontology-driven context engineering
  • Knowledge CoresReusable, modular knowledge bases that can be dynamically loaded and removed at runtime
  • 3D GraphViz VisualizationInteractive three-dimensional exploration and analysis of graph relationships
  • Relationship AnalysisDeep inspection of connections and dependencies within your knowledge bases

AI Agent Architecture

Flexible single and multi-agent systems

  • Single & Multi-Agent SystemsSupport for various agent configurations from simple single agents to complex multi-agent orchestration
  • MCP InteroperabilityNative integration with Model Context Protocol for seamless external tool connections
  • Custom WorkflowsRuntime-adjustable flow creation with dynamic parameter modification
  • Intelligent Context RetrievalPrecision-grounded information extraction for highly accurate AI responses

Query & Retrieval

Advanced search and information retrieval

  • Vector SearchSemantic similarity searching across your entire knowledge base for contextually relevant results
  • GraphRAG InterfaceGraph-enhanced retrieval-augmented generation combining knowledge graphs with vector search
  • Direct LLM ChatUnmediated language model interactions for flexible conversational experiences
  • Multi-Modal QueriesSupport for text, structured data, and semantic queries across different data types

Data Processing

Enterprise-grade data ingestion and processing

  • OCR Pipeline SupportBuilt-in optical character recognition for processing documents, images, and scanned materials
  • High-Throughput StreamingEfficient large-scale data ingestion with Apache Pulsar for real-time processing
  • Customizable ChunkingAdjustable document segmentation algorithms optimized for your data and use case
  • Multi-Format SupportProcess PDFs, documents, structured databases, APIs, and unstructured data sources

Deployment Flexibility

Run anywhere, from local to enterprise cloud

  • Multi-Cloud SupportDeploy on AWS, Azure, Google Cloud, OVHcloud, Scaleway, or any Kubernetes environment
  • Fully ContainerizedComplete Docker-based deployment model for consistency across all environments
  • Run Anywhere FlexibilityFrom local development to on-premise data centers to enterprise cloud deployments
  • Single Command DeployLaunch your entire agent infrastructure with docker compose in seconds

Integrations & Storage

Connect to your existing stack seamlessly

  • Multiple Graph StoresChoose from Neo4j, Apache Cassandra, Memgraph, or FalkorDB for your graph database
  • Vector Database OptionsBuilt-in support for Qdrant (default), Pinecone, Milvus, and other vector stores
  • Multi-LLM SupportIntegration with Anthropic, OpenAI, Google VertexAI, AWS Bedrock, and 40+ other providers
  • Enterprise ConnectorsPre-built connectors for databases, APIs, cloud storage, and enterprise systems

Observability & Operations

Production-ready monitoring and operations

  • Prometheus & Grafana IntegrationComprehensive monitoring dashboards with pre-configured metrics and alerts
  • Telemetry TrackingTrack latency, error rates, throughput, and cost metrics across your entire system
  • Audit LoggingComplete audit trails for compliance, debugging, and performance analysis
  • Cost MonitoringReal-time tracking of LLM API costs, compute usage, and infrastructure expenses

Enterprise Security

Built for compliance and data sovereignty

  • Data SovereigntyKeep your data in your chosen region or on-premise for regulatory compliance
  • Native Multi-TenancyIsolated namespaces, separate resource allocation, individual quota management, and security boundary enforcement per tenant
  • Access ControlFine-grained RBAC, SSO integration, and multi-factor authentication support
  • Open Source TransparencyFull source code access for security audits and compliance verification