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Merge pull request #429 from trustgraph-ai/release/v1.0
cybermaggedon Jul 8, 2025
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Merge pull request #604 from trustgraph-ai/release/v1.8
cybermaggedon Jan 8, 2026
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18 changes: 12 additions & 6 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,17 +11,21 @@

<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 context development platform
# The agent runtime platform

</div>

Building applications that need to know things requires more than a database. [TrustGraph](https://trustgraph.ai) is the context development platform: graph-native infrastructure for storing, enriching, and retrieving structured knowledge at any scale. Think like [Supabase](https://github.com/supabase/supabase) but built around context graphs: multi-model storage, semantic retrieval pipelines, portable [context cores](#context-cores), and a full developer toolkit out of the box. Deploy locally or in the cloud. No unnecessary API keys. Just context, engineered.
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
- [x] Tabular/relational, key-value
- [x] Document, graph, and vectors
- [x] Images, video, and audio
- [x] Images, video, and audio
- [x] Context Graph engine
- [x] Automated entity and relationship extraction
- [x] Ontology-driven graph construction
- [x] Graph-grounded retrieval for explainable outputs
- [x] Automated data ingest and loading
- [x] Quick ingest with semantic similarity retrieval
- [x] Ontology structuring for precision retrieval
Expand All @@ -31,8 +35,8 @@ The platform:
- [x] OntologyRAG
- [x] 3D GraphViz for exploring context
- [x] Fully Agentic System
- [x] Single Agent
- [x] Multi Agent
- [x] Single or Multi Agent
- [x] ReAct, Plan-then-Execute, and Supervisor patterns
- [x] MCP integration
- [x] Run anywhere
- [x] Deploy locally with Docker
Expand Down Expand Up @@ -123,7 +127,7 @@ There are 3 libraries for quick UI integration of TrustGraph services.

## Context Cores

A Context Core is a **portable, versioned bundle of context** that you can ship between projects and environments, pin in production, and reuse across agents. It packages the “stuff agents need to know” (structured knowledge + embeddings + evidence + policies) into a single artifact, so you can treat context like code: build it, test it, version it, promote it, and roll it back. TrustGraph is built to support this kind of end-to-end context engineering and orchestration workflow.
Context Cores are how TrustGraph treats context like code. A Context Core is a **portable, versioned bundle of context** that you can ship between projects and environments, pin in production, and reuse across agents. It packages the “stuff agents need to know” (structured knowledge + embeddings + evidence + policies) into a single artifact, so you can treat context like code: build it, test it, version it, promote it, and roll it back. TrustGraph is built to support this kind of end-to-end context engineering and orchestration workflow.

### What’s inside a Context Core
A Context Core typically includes:
Expand Down Expand Up @@ -197,6 +201,8 @@ TrustGraph provides component flexibility to optimize agent workflows.
<br>

- Apache Pulsar<br>
- RabbitMQ<br>
- Apache Kafka<br>

</details>
<details>
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