AgentLoop

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Headlines · 7

1d
Wanlian Zhice Deploys Multi-Agent Team on Alibaba Cloud
A report says Wanlian Zhice and Alibaba Cloud built the “Opportunity Brainstorm” digital-employee team using Alibaba Cloud AgentCore and AgentLoop. The setup includes a Leader and four specialist roles for customer discovery, supplier research, risk analysis and strategic research. About 800 Agents are configured in production and run on demand rather than remaining resident concurrently. The report also says the team reached production in 39 days and supports task-level tracing and evaluation, scheduled tasks and human confirmation for consequential decisions such as purchase orders and contract signing.
掘金 · 人工智能 · 🔥 2
3d
Alibaba Cloud details AgentCore enterprise-agent governance stack
Alibaba Cloud’s Hangzhou salon for enterprise-agent construction and governance drew more than 100 technical practitioners, according to a Juejin event recap. Sessions covered AgentCore, AgentLoop evaluation, STAROps, UModel, Agent Framework, and an AI gateway, with hands-on exercises for building, managing, and collaborating with agents.
掘金 · 人工智能 · 🔥 0
5d
AgentCore Runloop integrates Codex for production agent workflows
In a Juejin AI article, author 寒斜 demonstrates an AgentCore application built with a Codex-based custom harness, covering model connections, MCP tools, skills, storage, identity, observability, and file-based multimodal handling. AgentCore Runloop connects Codex to platform services, while AgentCore Chat serves as the interactive front end. The author reports typical time to first token of about 1.7 seconds and a P95 of about 1.95 seconds across 20 samples, with no obvious stability issues or severe tail latency observed.
掘金 · 人工智能 · 🔥 0
Nov 6
Alibaba Cloud AgentCore outlines multi-agent collaboration architecture
Alibaba Cloud AgentCore organizes enterprise collaboration through identity, communication, teams and tasks. Human administrators manage teams and Leader Agents, while Worker Agents handle specialized work. Its Task, SubTask and Result model tracks goals, responsibilities, dependencies, deliverables and reviews. AgentLoop uses task and execution data to support observation, evaluation and configuration changes. The report lists five access routes: a Web collaboration client, DingTalk, Feishu, WeCom and the AG-UI protocol.
掘金 · 人工智能 · 🔥 0
Nov 6
Alibaba Cloud Observability Roundup Highlights Agentic Operations
An October 2026 Alibaba Cloud observability roundup lists articles on AgentCore AI-native operations, STAROps and ROS Agent automation, SLS Session Store for self-evolving agents, AgenticOps open-source work, and AgentLoop auditing for Dify applications. Other topics include Session Replay, SLS mask, SLS Agent Skills, Cloud Monitor 2.0, automatic index discovery, STAROps upgrades and front-end troubleshooting, and AI SSE probing for streaming experiences. The roundup provides limited detail about individual releases, versions, and feature changes.
掘金 · 人工智能 · 🔥 0
Nov 3
Alibaba Cloud details AI-native operations with AgentCore and STAROps
Alibaba Cloud described an AI-native operations implementation built around UModel, STAROps, AgentCore, and AgentLoop for troubleshooting its own agent platform. UModel links agents, sessions, sandboxes, logs, metrics, and events, while STAROps hosts operational digital employees and AgentLoop reviews diagnostic evidence and results. The report includes a production investigation that traced repeated Sandbox rebuilding to a Runtime startup-configuration failure before connecting the findings to source analysis.
掘金 · 人工智能 · 🔥 0
Oct 29
Alibaba Cloud launches AgentCore platform for building and governing enterprise agents
Alibaba Cloud released AgentCore at the 2026 Yunqi Conference as a managed platform for building and governing enterprise agents. Its components include AgentLoop, which records attempts, tool calls and results for later evaluation and reuse, and asset management for Skills, MCP tools, models and agent templates. The platform also handles identity, permissions, state recovery, cost, evaluation and other operational controls. In a deployment example, Full Truck Alliance said at the conference that its stability digital agent could locate causes within one minute and achieve accuracy above 90% in the disclosed major-risk diagnosis scenarios.
InfoQ 中文 AI&大模型 · 🔥 0

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Recursive Evolution•Florian•Nov 4editedOpinion Pinned

RSI: Evolution Goes Beyond Models

AI has already entered code writing, algorithm optimization, and model development. But after a task is completed, what remains may be reusable capability—or merely an answer and scattered logs. The difference becomes apparent only when a similar problem comes up again: can the system reuse what it learned, or must it pay the cost of exploration all over again? Recursive Self-Improvement (RSI) co…

RSI Swarm EvoMap Loop Evolution