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Revise key features and add TypeScript library info

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Updated key features and added TypeScript library section to README.
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Jack Colquitt 2025-12-17 18:37:20 -08:00 • committed by GitHub
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@ -37,14 +37,19 @@ Deploy anywhere. Own your data. Control your AI stack.
## Key Features ## Key Features
- **Unify your Data for Reliable, Accurate, and Precise AI** - **Ontology-Driven Context Engineering**
- **Ship Intelligent Agents Powered with Your Data** - **Unify Data Silos for Reliable, Accurate, and Precise AI**
- **Connect Your Agents with MCP** - **Automated Knowledge Graph Construction and Retrieval**
- **Run Anywhere** - **Single Agent or Multi-Agent Systems**
- **Observe Your Data** - **Interoperability with MCP**
- **Run Anywhere from local to cloud**
- **Observability and Telemetry**
- **Serve Models for Private LLM Inference** - **Serve Models for Private LLM Inference**
- **Create Many Workflows** - **Create Custom Workflows**
- **Control Data Access** - **Control Data Access for Users and Agents**
- **Backend Orchestration for Knowledge Graphs, Datastores, and File and Object Storage**
- **High Throughput Data Streaming**
- **Fully Containerized**
## Why TrustGraph? ## Why TrustGraph?
@ -99,6 +104,14 @@ The **Workbench** provides tools for all major features of TrustGraph. The **Wor
- **Agent Tools**: Define tools with collections, knowledge cores, MCP connections, and tool groups - **Agent Tools**: Define tools with collections, knowledge cores, MCP connections, and tool groups
- **MCP Tools**: Connect to MCP servers - **MCP Tools**: Connect to MCP servers
## TypeScript Library for UIs
There are 3 libraries for quick integration of TrustGraph services to a frontend.
- [@trustgraph/client](https://www.npmjs.com/package/@trustgraph/client)
- [@trustgraph/react-state](https://www.npmjs.com/package/@trustgraph/react-state)
- [@trustgraph/react-provider](https://www.npmjs.com/package/@trustgraph/react-provider)
## Knowledge Cores ## Knowledge Cores
A challenge facing GraphRAG architectures is the ability to reuse and remove datasets from agent workflows. TrustGraph can store the data ingest process as reusable Knowledge Cores. Knowledge cores can be loaded and removed during runtime. Some sample knowledge cores are [here](https://github.com/trustgraph-ai/catalog/tree/master/v3). A challenge facing GraphRAG architectures is the ability to reuse and remove datasets from agent workflows. TrustGraph can store the data ingest process as reusable Knowledge Cores. Knowledge cores can be loaded and removed during runtime. Some sample knowledge cores are [here](https://github.com/trustgraph-ai/catalog/tree/master/v3).