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Update TrustGraph description in README (#994)

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Clarified the description of TrustGraph's capabilities and API integrations.
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Jack Colquitt 2026-06-18 19:46:25 -07:00 • committed by GitHub
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@ -21,7 +21,7 @@ Stop rebuilding context from scratch. TrustGraph treats context as a holon — a
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 routing prompts to Anthropic and OpenAI, or self-hosting Qwen3.7 via vLLM, TrustGraph enriches your models with a sovereign, private holonic system that grounds your agents in reality.
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.
## The Problem: Why Agents Break