diff --git a/README.md b/README.md
index 432fbb29..c366a3d9 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
-[](https://pypi.org/project/trustgraph/)  
+[](https://pypi.org/project/trustgraph/) [](LICENSE) 
[](https://discord.gg/sQMwkRz5GX) [](https://deepwiki.com/trustgraph-ai/trustgraph)
@@ -11,11 +11,11 @@
-# The semantic deployment platform
+# The agent runtime platform
-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.
+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.
The platform:
- [x] Multi-model and multimodal database system
@@ -99,21 +99,23 @@ For a browser based configuration, try the [Configuration Terminal](https://conf
- [**Developer APIs and CLI**](https://docs.trustgraph.ai/reference)
- [**Deployment Guides**](https://docs.trustgraph.ai/deployment)
-## Context Graph UI
+## Workbench
-
+The **Workbench** provides tools for all major features of TrustGraph. The **Workbench** is on port `8888` by default.
-The UI provides tools for all major features of TrustGraph. The UI deploys on port `8888` by default.
-
-- **Agent Console** — Query your agents directly with streaming responses and live explainability event tracking, so you can watch reasoning unfold in real time
-- **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
-- **Context Explorer** — An interactive 3D context graph explorer with dynamic graph loading, BFS neighborhood extraction, edge pulse animation, and multiple navigation views
-- **Document Ingestion** — A complete upload and submission workflow with page and chunk inspection and document structure browsing
-- **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
-- **Schema Workbench** — Interactive schema management with list, create, edit, and delete operations including field and index management
-- **Flow Management** — Flow creation and detail views with configurable parameters, temperature controls, and grouped storage layout
-- **Workspace UX** — Workspace selection and management surfaced directly in the interface
-- **Prompt Editor** — A dedicated prompt editing workflow
+- **Vector Search**: Search the installed knowledge bases
+- **Agentic, GraphRAG and LLM Chat**: Chat interface for agents, GraphRAG queries, or direct to LLMs
+- **Relationships**: Analyze deep relationships in the installed knowledge bases
+- **Graph Visualizer**: 3D GraphViz of the installed knowledge bases
+- **Library**: Staging area for installing knowledge bases
+- **Flow Classes**: Workflow preset configurations
+- **Flows**: Create custom workflows and adjust LLM parameters during runtime
+- **Knowledge Cores**: Manage resuable knowledge bases
+- **Prompts**: Manage and adjust prompts during runtime
+- **Schemas**: Define custom schemas for structured data knowledge bases
+- **Ontologies**: Define custom ontologies for unstructured data knowledge bases
+- **Agent Tools**: Define tools with collections, knowledge cores, MCP connections, and tool groups
+- **MCP Tools**: Connect to MCP servers
## TypeScript Library for UIs