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Revise README for semantic infrastructure terminology (#962)

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Updated the README to reflect changes in terminology and improve clarity regarding the platform's features.
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<a href="https://trendshift.io/repositories/17291" target="_blank"><img src="https://trendshift.io/api/badge/repositories/17291" alt="trustgraph-ai%2Ftrustgraph | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> <a href="https://trendshift.io/repositories/17291" target="_blank"><img src="https://trendshift.io/api/badge/repositories/17291" alt="trustgraph-ai%2Ftrustgraph | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
# The agent runtime platform # The semantic infrastructure for agents
</div> </div>
TrustGraph is an agent runtime platform built around context graphs — structured, queryable representations of your domain knowledge that ground every agent query in verified, explainable facts in private deployments with sovereign control. The platform is the full stack for agentic systems: context graphs, memory, retrieval, orchestration, and inference for precision-critical agent workloads. TrustGraph is a comprehensive semantic infrastructure for agents built around context graphs — structured, queryable representations of your domain knowledge that ground every agent query in verified, explainable facts in private deployments with sovereign control. The platform is the full stack for agentic systems: context graphs, memory, retrieval, orchestration, and inference for deterministic agent workloads.
The platform: The platform:
- [x] Multi-model and multimodal database system - [x] Multi-model and multimodal database system
@ -99,23 +99,21 @@ For a browser based configuration, try the [Configuration Terminal](https://conf
- [**Developer APIs and CLI**](https://docs.trustgraph.ai/reference) - [**Developer APIs and CLI**](https://docs.trustgraph.ai/reference)
- [**Deployment Guides**](https://docs.trustgraph.ai/deployment) - [**Deployment Guides**](https://docs.trustgraph.ai/deployment)
## Workbench ## Context Graph UI
The **Workbench** provides tools for all major features of TrustGraph. The **Workbench** is on port `8888` by default. <img width="1389" height="961" alt="Image" src="https://github.com/user-attachments/assets/35c9250d-0f01-40cb-9294-1ee8fd9a1b56" />
- **Vector Search**: Search the installed knowledge bases The UI provides tools for all major features of TrustGraph. The UI deploys on port `8888` by default.
- **Agentic, GraphRAG and LLM Chat**: Chat interface for agents, GraphRAG queries, or direct to LLMs
- **Relationships**: Analyze deep relationships in the installed knowledge bases - **Agent Console** — Query your agents directly with streaming responses and live explainability event tracking, so you can watch reasoning unfold in real time
- **Graph Visualizer**: 3D GraphViz of the installed knowledge bases - **GraphRAG View** — Interactive graph RAG queries with a visual explainability DAG and inline provenance display, making it easy to see exactly where answers came from
- **Library**: Staging area for installing knowledge bases - **Context Explorer** — An interactive 3D context graph explorer with dynamic graph loading, BFS neighborhood extraction, edge pulse animation, and multiple navigation views
- **Flow Classes**: Workflow preset configurations - **Document Ingestion** — A complete upload and submission workflow with page and chunk inspection and document structure browsing
- **Flows**: Create custom workflows and adjust LLM parameters during runtime - **Ontology Workbench** — A full ontology editor with class and property trees, OWL/XML and Turtle import/export with round-trip fidelity, circular dependency detection, and safe-delete confirmation dialogs
- **Knowledge Cores**: Manage resuable knowledge bases - **Schema Workbench** — Interactive schema management with list, create, edit, and delete operations including field and index management
- **Prompts**: Manage and adjust prompts during runtime - **Flow Management** — Flow creation and detail views with configurable parameters, temperature controls, and grouped storage layout
- **Schemas**: Define custom schemas for structured data knowledge bases - **Workspace UX** — Workspace selection and management surfaced directly in the interface
- **Ontologies**: Define custom ontologies for unstructured data knowledge bases - **Prompt Editor** — A dedicated prompt editing workflow
- **Agent Tools**: Define tools with collections, knowledge cores, MCP connections, and tool groups
- **MCP Tools**: Connect to MCP servers
## TypeScript Library for UIs ## TypeScript Library for UIs