DGrid

DGrid x Stable: Building the Foundation for Ecosystem AI

2026-04-16T06:00:00+08:00

We are pleased to announce DGrid’s partnership with Stable. Through this collaboration, DGrid will provide AI infrastructure to the Stable ecosystem, supporting the integration and invocation of large language models across a growing range of ecosystem AI use cases. As Stable builds USDT-native infrastructure designed for real-world payments, seamless user experience, and scalable adoption, DGrid is proud to support the ecosystem from the AI infrastructure layer.

Introducing DClaw: The 1-Click Agent Deployment Layer Powering the DGrid Ecosystem

2026-04-15T06:00:00+08:00

Today, we launch DClaw — DGrid's foundational personal agent layer for the open agent economy. At DGrid, we believe the next era of AI will not be defined by isolated chatbots, but by ​personal agents​: intelligent systems that operate across your tools, learn your context over time, act on your behalf, and remain fully under your control.

Step-by-Step Guide: Integrate DGrid with Junie CLI

2026-04-13T06:00:00+08:00

JetBrains Junie CLI is an agentic coding tool that runs in the terminal and helps developers review, write, and modify code inside their projects. It supports Linux, macOS, and Windows, and can be launched directly from your project root.

How to Use DGrid AI Gateway with the Vercel AI SDK

2026-03-26T06:00:00+08:00

The Vercel AI SDK is the TypeScript toolkit designed to help developers build AI-powered applications and agents with React, Next.js, Vue, Svelte, Node.js, and more. If you want to build AI applications with the Vercel AI SDK while routing model traffic through DGrid AI Gateway, the setup is straightforward.

Using Codex CLI with DGrid: A Complete Guide

2026-03-23T06:00:00+08:00

Modern coding agents like Codex CLI enable developers to interact with their codebases using natural language — writing, editing, and reasoning about code directly from the terminal. DGrid AI Gateway provides a unified, OpenAI-compatible API that allows you to access multiple AI models through a single endpoint. By integrating Codex CLI with DGrid, you can route all coding agent requests through a flexible, centralized infrastructure.

Use Claude Code with DGrid

2026-03-12T06:00:00+08:00

This guide explains how to run Claude Code through DGrid, an AI gateway that improves API reliability, usage control, and team management when using the Anthropic Claude API.

Step-by-Step Guide: Configure DGrid AI Gateway in AI as Workspace (AIaW)

2026-03-10T06:00:00+08:00

AI as Workspace (AIaW) is an open-source, AI-native productivity platform that unifies chat, document collaboration, and custom AI workflows into a single, extensible workspace. With robust support for custom model providers and native API integration, AIaW enables users to build fully customized AI work environments with their preferred inference providers.

Step-by-Step Guide: Configure DGrid AI Gateway in Chatbox

2026-03-09T06:00:00+08:00

Chatboxs a popular open-source, cross-platform AI chat client that enables users to integrate and switch between multiple large language model (LLM) providers in a unified interface. With support for adding customizable API endpoints, it delivers flexible AI chat workflows for both individual and enterprise users.

Step-by-Step Guide: OpenClaw Installation & DGrid AI Gateway Service Setup(No Code Required)

2026-02-27T06:00:00+08:00

OpenClaw has rapidly emerged as a leading consumer-grade platform for AI agent orchestration, seamlessly connecting your digital life — calendars, emails, and Notion workspaces — into fully automated workflows. However, an AI agent is only as powerful as the model and inference infrastructure driving it.

How to Configure and Use DGrid AI Gateway API in Cursor

2026-02-18T06:00:00+08:00

Cursor is a powerful AI-driven code editor, designed specifically for developers to enhance coding efficiency with intelligent features such as real-time code completion, AI-assisted debugging, and seamless integration with various large language models (LLMs). It supports custom API integration, allowing developers to extend its capabilities by connecting to third-party model services.