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The context development platform

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Building applications that need to know things requires more than a database. TrustGraph is the context development platform: graph-native infrastructure for storing, enriching, and retrieving structured knowledge at any scale. Think like Supabase but built around context graphs: multi-model storage, semantic retrieval pipelines, portable context cores, and a full developer toolkit out of the box. Deploy locally or in the cloud. No unnecessary API keys. Just context, engineered.

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] Automated data ingest and loading
  • [x] Quick ingest with semantic similarity retrieval
  • [x] Ontology structuring for precision retrieval
• [x] Out-of-the-box RAG pipelines
  • [x] DocumentRAG
  • [x] GraphRAG
  • [x] OntologyRAG
• [x] 3D GraphViz for exploring context
• [x] Fully Agentic System
  • [x] Single Agent
  • [x] Multi Agent
  • [x] MCP integration
• [x] Run anywhere
  • [x] Deploy locally with Docker
  • [x] Deploy in cloud with Kubernetes
• [x] Support for all major LLMs
  • [x] API support for Anthropic, Cohere, Gemini, Mistral, OpenAI, and others
  • [x] Model inferencing with vLLM, Ollama, TGI, LM Studio, and Llamafiles
• [x] Developer friendly
  • [x] REST API Docs
  • [x] Websocket API Docs
  • [x] Python API Docs
  • [x] CLI Docs

No API Keys Required

How many times have you cloned a repo and opened the .env.example to see the dozens of API keys for 3rd party dependencies needed to make the services work? There are only 3 things in TrustGraph that might need an API key:

• 3rd party LLM services like Anthropic, Cohere, Gemini, Mistral, OpenAI, etc.
• 3rd party OCR like Mistral OCR
• The API key you set for the TrustGraph API gateway

Everything else is included.

• [x] Managed Multi-model storage in Cassandra
• [x] Managed Vector embedding storage in Qdrant
• [x] Managed File and Object storage in Garage (S3 compatible)
• [x] Managed High-speed Pub/Sub messaging fabric with Pulsar
• [x] Complete LLM inferencing stack for open LLMs with vLLM, TGI, Ollama, LM Studio, and Llamafiles

Quickstart

npx @trustgraph/config

TrustGraph downloads as Docker containers and can be run locally with Docker, Podman, or Minikube. The config tool will generate:

• deploy.zip with either a docker-compose.yaml file for a Docker/Podman deploy or resources.yaml for Kubernetes
• Deployment instructions as INSTALLATION.md

<p align="center"> <video src="https://github.com/user-attachments/assets/2978a6aa-4c9c-4d7c-ad02-8f3d01a1c602" width="80%" controls></video> </p>

For a browser based quickstart, try the Configuration Terminal.

<details> <summary>Table of Contents</summary> <br>

• What is a Context Graph?<br>
• Context Graphs in Action<br>
• Getting Started<br>
• Context Cores<br>
• Tech Stack<br>
• Observability & Telemetry<br>
• Contributing<br>
• License<br>
• Support & Community<br>

</details>

Watch What is a Context Graph?

Watch Context Graphs in Action

Getting Started with TrustGraph

• Getting Started Guides
• Using the Workbench
• Developer APIs and CLI
• Deployment Guides

Workbench

The Workbench provides tools for all major features of TrustGraph. The Workbench is on port 8888 by default.

• 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

There are 3 libraries for quick UI integration of TrustGraph services.

• @trustgraph/client
• @trustgraph/react-state
• @trustgraph/react-provider

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.

What’s inside a Context Core

A Context Core typically includes:

• Ontology (your domain schema) and mappings
• Context Graph (entities, relationships, supporting evidence)
• Embeddings / vector indexes for fast semantic entry-point lookup
• Source manifests + provenance (where facts came from, when, and how they were derived)
• Retrieval policies (traversal rules, freshness, authority ranking)

Tech Stack

TrustGraph provides component flexibility to optimize agent workflows.

<details> <summary>LLM APIs</summary> <br>

• Anthropic<br>
• AWS Bedrock<br>
• AzureAI<br>
• AzureOpenAI<br>
• Cohere<br>
• Google AI Studio<br>
• Google VertexAI<br>
• Mistral<br>
• OpenAI<br>

</details> <details> <summary>LLM Orchestration</summary> <br>

• LM Studio<br>
• Llamafiles<br>
• Ollama<br>
• TGI<br>
• vLLM<br>

</details> <details> <summary>Multi-model storage</summary> <br>

• Apache Cassandra<br>

</details> <details> <summary>VectorDB</summary> <br>

• Qdrant<br>

</details> <details> <summary>File and Object Storage</summary> <br>

• Garage<br>

</details> <details> <summary>Observability</summary> <br>

• Prometheus<br>
• Grafana<br>
• Loki<br>

</details> <details> <summary>Data Streaming</summary> <br>

• Apache Pulsar<br>

</details> <details> <summary>Clouds</summary> <br>

• AWS<br>
• Azure<br>
• Google Cloud<br>
• OVHcloud<br>
• Scaleway<br>

</details>

Observability & Telemetry

Once the platform is running, access the Grafana dashboard at:

http://localhost:3000

Default credentials are:

user: admin
password: admin

The default Grafana dashboard tracks the following:

<details> <summary>Telemetry</summary> <br>

• LLM Latency<br>
• Error Rate<br>
• Service Request Rates<br>
• Queue Backlogs<br>
• Chunking Histogram<br>
• Error Source by Service<br>
• Rate Limit Events<br>
• CPU usage by Service<br>
• Memory usage by Service<br>
• Models Deployed<br>
• Token Throughput (Tokens/second)<br>
• Cost Throughput (Cost/second)<br>

</details>

Contributing

Developer's Guide

License

TrustGraph is licensed under Apache 2.0.

Copyright 2024-2025 TrustGraph

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obt