Skip To Main Content
Sungpack Hong on Muck Rack

Sungpack Hong

As seen in: arXiv, Oracle
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Sungpack

Contact Sungpack, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Reusable Agents Meet Generative UIs: Announcing Open Agent Specification support for A2UI through CopilotKit AG-UI

|
By Son Le, Sơn Lê, Sungpack Hong, Damien Hilloulin
| Oracle
Agent frameworks have become great at reasoning, orchestration, and tool execution. But the moment you want to ship a real product experience, such as interactive UI, mid-run progress, state that stays in sync, you often end up rebuilding the same “middle layer” in every stack.
Open in Who Shared Issue with article?

Reusable agents meet agentic frontends: announcing AG-UI integration for Open Agent Specification

|
By Sungpack Hong, Rhicheek Patra
| Oracle
Bring your Agent Spec JSON to AG-UI frontends for real-time, stateful, and tool‑aware experiences. We’re excited to announce that Open Agent Specification (Agent Spec) and AG-UI (from CopilotKit) now work together to connect portable backend agent orchestrations with interactive, frontend experiences. Define agents declaratively once, run them on compatible runtimes including LangGraph, WayFlow (and others coming soon), and connect to AG-UI frontends without custom integration glue.
Open in Who Shared Issue with article?

Introducing the Open Agent Specification (Agent Spec): A Unified Representation for AI Agents

|
By Sungpack Hong, Sujith Ravi, Rhicheek Patra
| Oracle
AI agents have become core to many modern applications – automating workflows or orchestrating complex tasks. However, a key challenge persists – fragmentation. Today’s developers rely on frameworks such as AutoGen, LangGraph, and CrewAI, each with its own strengths but lacking a shared foundation. This fragmentation can make it difficult to port agents between frameworks, reuse components, and scale solutions across platforms.
Open in Who Shared Issue with article?
See all 4 articles