Building a conversational agent is easy, but deploying it in real business scenarios requires a managed, reusable tool system; AgentRun unifies Skills and MCPs, offering versioned, secure, observable assets that bridge the gap from chat interface to business execution.
The Agentic AICon event gathered over 180 technical professionals to dissect enterprise‑scale agent engineering, presenting the full lifecycle of Agent Infra—including construction, deployment, observability, and intelligent operations—through detailed sessions on HiClaw, AgentRun, AgentLoop, STAROps, and a RocketMQ‑based asynchronous architecture.
The article examines how AI‑native scientific agents demand flexible, secure, and observable infrastructure, and how Alibaba Cloud’s Serverless‑based AgentRun platform delivers extreme elasticity, cost reduction, stateful long‑running support, sandbox security, and full‑chain tracing to enable rapid deployment of tens of thousands of research tools.
The article introduces the open‑source AgentRun CLI v0.1.0, explains how a single command can launch a hosted Agent, details its core features, declarative YAML API, six unified command groups, and shows how the new Python SDK integrates for full lifecycle management of Agentic AI workloads.
This article explains the A2A (Agent‑to‑Agent) protocol, AgentCard format, service discovery, JSON‑RPC communication, task lifecycle, credential protection, and provides a step‑by‑step Go SDK demo for building and invoking multi‑agent systems on the AgentRun cloud‑native platform.
This article explains how AgentRun’s All‑In‑One (AIO) sandbox integrates browser, shell, and code execution into a single cloud‑native container, eliminating file‑sharing headaches, simplifying tool coordination, reducing environment setup complexity, and cutting both memory usage and network latency for AI‑driven automation tasks.
This article walks through turning a Meta Ray‑Ban AR headset into an AI‑powered traffic enforcement prototype by combining a lightweight iOS client, Alibaba Cloud Function Compute AgentRun, prompt engineering, and serverless tools to perform OCR, rule checking, and real‑time feedback.
The article analyzes the security, state‑keeping, latency, dependency, and cost challenges of running AI Agents in serverless environments and explains how AgentRun, built on Alibaba Cloud Function Compute with RunD isolation and session affinity, provides a secure, low‑cost, high‑performance sandbox solution.
AgentRun Sandbox leverages Alibaba Cloud Function Compute, RunD secure virtualization, session affinity, and dynamic NAS mounting to provide a high‑performance, low‑cost, stateful execution environment for AI agents, addressing security, cold‑start latency, resource isolation, and lifecycle management challenges inherent to traditional serverless platforms.
