From 64b934c814b0f92001d9f336338a1f7b6a99bd85 Mon Sep 17 00:00:00 2001
From: Cyber MacGeddon <cybermaggedon@gmail.com>
Date: Tue, 17 Mar 2026 20:51:17 +0000
Subject: [PATCH] Fix changing the README

---
 README.md | 49 +++++++++++++++++++++++++++----------------------
 1 file changed, 27 insertions(+), 22 deletions(-)

diff --git a/README.md b/README.md
index d1db4ffd..61a03cc7 100644
--- a/README.md
+++ b/README.md
@@ -13,17 +13,9 @@
 
 # The context backend for reliable AI
 
-<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 backend for AI agents
-
 </div>
 
-Durable agent memory you can trust. Build, version, and retrieve grounded context from a context graph.
-
-- Give agents **memory** that persists across sessions and deployments.
-- Reduce hallucinations with **grounded context retrieval**
-- Ship reusable, portable [Context Cores](#context-cores) (packaged context you can move between projects/environments).
+LLMs alone hallucinate and diverge from ground truth. [TrustGraph](https://trustgraph.ai) is a context system that stores, enriches, and delivers context to LLMs to enable reliable AI agents. Think like [Supabase](https://github.com/supabase/supabase) but AI-native and powered by context graphs.
 
 The context backend:
 - [x] Multi-model and multimodal database system
@@ -53,6 +45,21 @@ The context backend:
   - [x] Websocket API [Docs](https://docs.trustgraph.ai/reference/apis/websocket.html)
   - [x] Python API [Docs](https://docs.trustgraph.ai/reference/apis/python)
   - [x] CLI [Docs](https://docs.trustgraph.ai/reference/cli/)
+     
+## 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](https://cassandra.apache.org/_/index.html)
+- [x] Managed Vector embedding storage in [Qdrant](https://github.com/qdrant/qdrant)
+- [x] Managed File and Object storage in [Garage](https://github.com/deuxfleurs-org/garage) (S3 compatible)
+- [x] Managed High-speed Pub/Sub messaging fabric with [Pulsar](https://github.com/apache/pulsar)
+- [x] Complete LLM inferencing stack for open LLMs with [vLLM](https://github.com/vllm-project/vllm), [TGI](https://github.com/huggingface/text-generation-inference), [Ollama](https://github.com/ollama/ollama), [LM Studio](https://github.com/lmstudio-ai), and [Llamafiles](https://github.com/mozilla-ai/llamafile) 
 
 ## Quickstart
 
@@ -69,6 +76,8 @@ TrustGraph downloads as Docker containers and can be run locally with Docker, Po
 width="80%" controls></video>
 </p>
 
+For a browser based quickstart, try the [Configuration Terminal](https://config-ui.demo.trustgraph.ai/). 
+
 <details>
 <summary>Table of Contents</summary>
 <br>
@@ -172,28 +181,24 @@ TrustGraph provides component flexibility to optimize agent workflows.
 
 </details>
 <details>
-<summary>Graph Storage</summary>
-<br>
-
-- Apache Cassandra (default)<br>
-- Neo4j<br>
-- Memgraph<br>
-- FalkorDB<br>
-
-</details>
-<details>
-<summary>VectorDBs</summary>
+<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 (default)<br>
-- MinIO<br>
+- Garage<br>
 
 </details>
 <details>