🔥 trustgraph-ai/trustgraph

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:

• Multi-model and multimodal database system

Tabular/relational, key-value Document, graph, and vectors Images, video, and audio

• Automated data ingest and loading

Quick ingest with semantic similarity retrieval Ontology structuring for precision retrieval

• Out-of-the-box RAG pipelines

DocumentRAG GraphRAG OntologyRAG

• 3D GraphViz for exploring context

• Fully Agentic System

Single Agent Multi Agent MCP integration

• Run anywhere

Deploy locally with Docker Deploy in cloud with Kubernetes

• Support for all major LLMs

API support for Anthropic, Cohere, Gemini, Mistral, OpenAI, and others Model inferencing with vLLM, Ollama, TGI, LM Studio, and Llamafiles

• Developer friendly

REST API Docs Websocket API Docs Python API Docs 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.

• Managed Multi-model storage in Cassandra

• Managed Vector embedding storage in Qdrant

• Managed File and Object storage in Garage (S3 compatible)

• Managed High-speed Pub/Sub messaging fabric with Pulsar

• 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

Quickstart.mp4

For a browser based quickstart, try the Configuration Terminal.

Table of Contents

• What is a Context Graph?

• Context Graphs in Action

• Getting Started

• Context Cores

• Tech Stack

• Observability & Telemetry

• Contributing

• License

• Support & Community

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.

LLM APIs

• Anthropic

• AWS Bedrock

• AzureAI

• AzureOpenAI

• Cohere

• Google AI Studio

• Google VertexAI

• Mistral

• OpenAI

LLM Orchestration

• LM Studio

• Llamafiles

• Ollama

• TGI

• vLLM

Multi-model storage

• Apache Cassandra

VectorDB

• Qdrant

File and Object Storage

• Garage

Observability

• Prometheus

• Grafana

• Loki

Data Streaming

• Apache Pulsar

Clouds

• AWS

• Azure

• Google Cloud

• OVHcloud

• Scaleway

Observability & Telemetry

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

http://localhost:3000

Default credentials are:

user: admin password: admin

user: admin password: admin

The default Grafana dashboard tracks the following:

Telemetry

• LLM Latency

• Error Rate

• Service Request Rates

• Queue Backlogs

• Chunking Histogram

• Error Source by Service

• Rate Limit Events

• CPU usage by Service

• Memory usage by Service

• Models Deployed

• Token Throughput (Tokens/second)

• Cost Throughput (Cost/second)

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 obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Support & Community

• Bug Reports & Feature Requests: Discord

• Discussions & Questions: Discord

• Documentation: Docs