apunkt/trustgraph
1
0
Fork 0
mirror of https://github.com/trustgraph-ai/trustgraph.git synced 2026-04-25 00:16:23 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions 1

Revise README for Production Agentic Context Stack

Browse source 
Updated project name and description for clarity and focus on production readiness.
This commit is contained in:
Jack Colquitt 2025-11-01 13:35:03 -07:00 • committed by GitHub
parent 9d66a9217c
commit 834db275ae
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 2 additions and 10 deletions
Download patch file Download diff file Expand all files Collapse all files

12
README.md
View file

@ -1,4 +1,4 @@
# The Agentic Context Stack
# The Production Agentic Context Stack
<div align="center">
@ -14,15 +14,7 @@
</div>
> “Your bottleneck isn’t moving data — it’s understanding it.”
TrustGraph is the open-source foundation for agentic AI you can trust.
It fuses knowledge graphs, data streaming, and vector intelligence into a unified architecture — delivering context precision, provenance, and verifiable reasoning across any domain.
Unlike closed systems that trap your data and obscure your logic, TrustGraph is built for transparency, portability, and proof.
Every answer is traceable. Every insight, explainable. Every deployment, yours.
TrustGraph is a production-ready platform for building post-training agentic systems. Combine your domain data with LLMs through unified infrastructure: real-time data pipelines, knowledge graph construction, vector retrieval, and agent orchestration. Deploy locally or in any cloud. Complete data sovereignty. Built by engineers, for engineers.
<details>
<summary>Table of Contents</summary>