Stop rebuilding context from scratch. TrustGraph treats context as a holon — a modular, independent whole that naturally snaps into a larger domain-wide intelligence layer. By deploying context as holonic context graphs, TrustGraph powers multi-tenant agent workflows, dramatically reduces token consumption, and aligns with semantic web standards (RDF, OWL, SKOS, SHACL). Version your context, share it across teams, and scale with full provenance. TrustGraph is a complete holonic context harness for all LLMs. It provides the full infrastructure layer underneath your agents: knowledge ingestion, structured storage, graph-grounded retrieval, agent orchestration, and a full LLM inferencing stack. TrustGraph relies on absolutely no 3rd party services aside from optional API integrations to cloud-hosted LLMs. Whether you are using Anthropic's or OpenAI's API, or self-hosting Qwen3.7 via vLLM, TrustGraph handles it all with pre-built API connectors and a full LLM inferencing stack to enrich the models with a sovereign, private holonic system that grounds your agents in reality.
| Website | https://trustgraph.ai |
| Employees | 5 (2 on RocketReach) |
| Founded | 2024 |
| Industry | Data Infrastructure and Analytics |
| Keywords | Ai Model Deployment, Ai Agent Deployment, Artificial Intelligence Agents, Open Source Ai, Large Language Models, Knowledge Graph Technology, Ai Infrastructure, Ai Development Tools, Llm Deployment, Ai Workflow Automation |
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2 people are employed at TrustGraph.
TrustGraph is based in San Francisco, California.