Tagged articles

AgentLoop

22 articles · Page 1 of 1

Nov 5, 2026 · Cloud Native

Alibaba Cloud AgentCore: Multi-Agent Collaboration Architecture for Complex Task Automation

Alibaba Cloud's AgentCore platform orchestrates specialized AI agents into collaborative teams that handle complex cross-domain tasks through identity management, real-time communication, task decomposition, and continuous optimization via AgentLoop, enabling enterprises to reuse business knowledge, tools, and skills with clear responsibilities and measurable outcomes.

AI agentsAgentCoreAgentLoop

0 likes · 17 min read

Alibaba Cloud AgentCore: Multi-Agent Collaboration Architecture for Complex Task Automation

Alibaba Cloud Native

Oct 28, 2026 · Information Security

How AgentLoop Detects & Blocks Credential Leaks in Qoder AI Agent Tasks

This article explains how AgentLoop uses audit logs and local interception via LoongSuite Pilot to detect and prevent sensitive credential leaks in Qoder AI agent tasks, detailing real-world risk scenarios, investigation workflows, remediation steps, and enterprise deployment strategies.

AI agent securityAgentLoopLoongSuite Pilot

0 likes · 23 min read

How AgentLoop Detects & Blocks Credential Leaks in Qoder AI Agent Tasks

Alibaba Cloud Native

Oct 24, 2026 · Artificial Intelligence

How Yidian Tianxia Built an AI Middle Platform for Autonomous Ad Agents

Yidian Tianxia shares how they built a unified five-layer AI middle platform — model, capability, agent, collaboration, and observability — enabling 100+ daily active agents, 130+ MCPs, and 1,500+ skills to autonomously execute end-to-end ad campaigns while keeping humans in the loop for high-risk decisions, achieving 40% ops efficiency gains and targeting 80% task closure.

AI Middle PlatformAd TechAgent Tuning

0 likes · 15 min read

How Yidian Tianxia Built an AI Middle Platform for Autonomous Ad Agents

Alibaba Cloud Observability

Oct 19, 2026 · Cloud Native

AgentLoop Audit: Making Enterprise Dify AI Risks Visible and Traceable

This article explains how Alibaba Cloud's AgentLoop platform continuously audits Dify AI applications by tracing model and tool calls, detecting sensitive data exposure, indirect prompt injection, and privilege misuse, and enabling custom rules to pinpoint root causes in workflow nodes for effective remediation.

AI auditingAgentLoopDify

0 likes · 21 min read

AgentLoop Audit: Making Enterprise Dify AI Risks Visible and Traceable

Alibaba Cloud Native

Oct 17, 2026 · Artificial Intelligence

Scaling Multi-Agent AI Across 4,360 Retail Stores: Top Sports' Enterprise Practice

Top Sports built an enterprise multi-agent platform (AgentCore) to scale AI across 4,360 stores, enabling specialized agents for training, lead mining, and store operations to collaborate via reusable skills, shared governance, and continuous improvement loops with Alibaba Cloud's AgentLoop, reducing store manager planning from 2 hours to 20 minutes.

AI operationsAgentCoreAgentLoop

0 likes · 14 min read

Scaling Multi-Agent AI Across 4,360 Retail Stores: Top Sports' Enterprise Practice

Alibaba Cloud Native

Oct 16, 2026 · Artificial Intelligence

Inside DeepModeling's Research Agent Observability Stack with AgentLoop

DeepModeling integrates Alibaba Cloud's AgentLoop into its Shrimp Runtime to observe research agent execution across tools and environments, enabling three troubleshooting paths for tool errors, external compute waits, and frontend stalls, while combining durable execution, workspace persistence, and scientific evaluation to distinguish execution success from scientific validity.

AI for ScienceAgentLoopBohr-CLI

0 likes · 17 min read

Inside DeepModeling's Research Agent Observability Stack with AgentLoop

Alibaba Cloud Native

Oct 14, 2026 · R&D Management

15 Agents Form an R&D Squad: End-to-End Multi-Agent Collaboration for Software Delivery

The article describes how 15 specialized agents organized via AgentCore collaborate across the full software delivery lifecycle, while AgentLoop continuously improves the team by analyzing execution traces, enabling offline benchmarking against expert commits and online experience accumulation, reducing delivery cycle from a month to a week in a constrained scenario.

AI agentsAgentCoreAgentLoop

0 likes · 12 min read

15 Agents Form an R&D Squad: End-to-End Multi-Agent Collaboration for Software Delivery

Alibaba Cloud Observability

Sep 30, 2026 · Information Security

Auditing AI Coding Agents: From Execution Logs to Risk Investigation

This article explains how LoongSuite-Pilot collects and structures coding agent execution records into unified event timelines, and how AgentLoop analyzes these records against task context to detect risks like prompt injection and unauthorized file deletions, enabling investigators to trace risky operations back to specific model-tool interactions.

AI safetyAgentLoopLoongSuite Pilot

0 likes · 18 min read

Auditing AI Coding Agents: From Execution Logs to Risk Investigation

Alibaba Cloud Native

Sep 4, 2026 · Artificial Intelligence

Close the Loop Finale: Agent Evaluation, SkillOps & LangChain Engineering Practices

The Shanghai finale of the Agent Observability and Optimization Close the Loop tour featured three technical sessions on building verifiable Agent optimization loops, managing Skills as strategic assets with SkillOps, and applying LangChain's Agent Engineering lifecycle from prototype to production, plus a hands-on workshop using Qoder and PawBench to demonstrate end-to-end evaluation.

Agent EvaluationAgentLoopLangChain

0 likes · 9 min read

Close the Loop Finale: Agent Evaluation, SkillOps & LangChain Engineering Practices

Alibaba Cloud Native

Sep 3, 2026 · Artificial Intelligence

AgentLoop Data Flywheel 5: Auto-Mining Experience, Ablation Tests Cut Latency 30-40%

This article details AgentLoop's experience self-evolution: automatically mining success/failure patterns from agent run traces, injecting them via a recall skill, and using ablation experiments to optimize recall threshold (0.6), top-1 injection, context positioning, experience slimming, and guardrails—achieving 30-40% latency reduction, 20-47% cost reduction, and significant token/tool-call savings.

AgentLoopablation experimentagent optimization

0 likes · 12 min read

AgentLoop Data Flywheel 5: Auto-Mining Experience, Ablation Tests Cut Latency 30-40%

Alibaba Cloud Native

Sep 2, 2026 · Artificial Intelligence

Validating Agent Optimizations with Backtesting, Offline Experiments, and Question‑Level Rubrics

This article shows how AgentLoop creates a backtesting plan, uses an offline intranet experiment platform, schedules regular runs, visualizes results on an experiment dashboard, and applies per‑question Rubrics to reliably measure and iterate on AI agent improvements.

AIAgentLoopOffline Testing

0 likes · 10 min read

Validating Agent Optimizations with Backtesting, Offline Experiments, and Question‑Level Rubrics

Alibaba Cloud Native

Sep 1, 2026 · Artificial Intelligence

From Golden Metrics to Rubric: Building a Quantifiable, Explainable Evaluation Loop for AI Agents

This article walks through constructing a fully quantifiable and explainable evaluation system for AI agents—starting with business‑level golden metrics, using LLMs to break them into a detailed Rubric, embedding the Rubric in a custom evaluator, configuring evaluation tasks with trace data, and closing the loop by turning low‑scoring cases into actionable insights for continuous improvement.

AI evaluationAgentLoopRubric

0 likes · 13 min read

From Golden Metrics to Rubric: Building a Quantifiable, Explainable Evaluation Loop for AI Agents

Alibaba Cloud Native

Aug 31, 2026 · Cloud Native

Kickstarting the Data Flywheel: Four Ways to Connect Agents to AgentLoop

This article explains how AgentLoop uses the OpenTelemetry protocol and probes to ingest high‑quality runtime data, offering four integration methods—one‑click generic agents, SDK framework integration, annotation‑based high‑code, and eBPF—demonstrated with a Claude Code customer‑service agent and end‑to‑end verification on the observation page.

Agent IntegrationAgentLoopCloud Native

0 likes · 9 min read

Kickstarting the Data Flywheel: Four Ways to Connect Agents to AgentLoop

Alibaba Cloud Native

Aug 31, 2026 · Artificial Intelligence

Highlights and Insights from the Shenzhen Stop of the Agent Observation & Optimization Tour

The Shenzhen session of the Agent Observation & Optimization tour gathered nearly a hundred technologists to discuss evaluation paradigms, showcase AgentScope 2.0’s enterprise‑grade features, demonstrate a Java e‑commerce chatbot assessment with AgentLoop, and offer a hands‑on workshop, while previewing the upcoming Shanghai event.

AI agentsAgentLoopAgentScope

0 likes · 6 min read

Highlights and Insights from the Shenzhen Stop of the Agent Observation & Optimization Tour

Alibaba Cloud Native

Aug 28, 2026 · Artificial Intelligence

AgentLoop Data Flywheel Overview: Building a Closed Loop for Continuous Agent Optimization

This article walks through a 64‑minute hands‑on demo of AgentLoop’s data flywheel, showing how ingesting trace data, observing runs, auditing, building datasets, evaluating, experimenting, and populating an experience library form a closed loop that continuously improves AI agents, with reported 30‑40% time savings and 20‑47% cost reductions.

AI agentAgentLoopcontinuous tuning

0 likes · 9 min read

AgentLoop Data Flywheel Overview: Building a Closed Loop for Continuous Agent Optimization

Alibaba Cloud Native

Aug 19, 2026 · Artificial Intelligence

Reproducible Three‑Dimensional Evaluation of DeepSeek Harness on Alibaba Cloud AgentLoop

This article presents a reproducible, three‑dimensional deterministic evaluation framework (outcome, compliance, process) built on Alibaba Cloud AgentLoop, applies it to a 10‑task subset of terminal‑bench 2.1 to benchmark DeepSeek Harness against Codex, details the methodology, results, and future research directions.

AI agent assessmentAgentLoopBenchmark Evaluation

0 likes · 26 min read

Reproducible Three‑Dimensional Evaluation of DeepSeek Harness on Alibaba Cloud AgentLoop

Alibaba Cloud Native

Aug 7, 2026 · Artificial Intelligence

Best Practices for Skill Evaluation and Optimization with Alibaba Cloud AgentLoop

This article presents a complete, data‑driven workflow for creating, instrumenting, offline evaluating, analyzing bad cases, and iteratively optimizing Skills on Alibaba Cloud AgentLoop, enabling developers to quantify quality, track improvements across versions, and reliably deliver high‑quality AI Agent capabilities.

AI agentAgentLoopBad Case Analysis

0 likes · 43 min read

Best Practices for Skill Evaluation and Optimization with Alibaba Cloud AgentLoop

Alibaba Cloud Native

Aug 4, 2026 · Artificial Intelligence

AI Innovation Forum Shanghai: Key Takeaways, Multi‑Agent Architecture, and PPT Resources

The AI Innovation Practice Forum in Shanghai gathered over 70 tech professionals to present deep dives on multi‑agent governance, the Agent Native Cloud three‑layer model, AgentTeams collaboration platform, AgentLoop lifecycle flywheel, a cloud‑native network foundation, and next‑gen AIOps, with PPTs available for download.

AI agentsAIOpsAgent Native Cloud

0 likes · 6 min read

AI Innovation Forum Shanghai: Key Takeaways, Multi‑Agent Architecture, and PPT Resources

Alibaba Cloud Native

Jun 18, 2026 · Artificial Intelligence

How Enterprise Agents Can Keep Getting Smarter: Inside Alibaba Cloud’s AgentLoop

The article analyzes the challenges of building a self‑evolving enterprise agent—data collection, dataset construction, multi‑level evaluation, and asset consolidation—and explains how Alibaba Cloud’s AgentLoop addresses each step with full‑stack observation, ontology‑driven pipelines, standardized judges, and memory/experience libraries to close the evolution loop.

AI agentsAgentLoopGenAI observability

0 likes · 14 min read

How Enterprise Agents Can Keep Getting Smarter: Inside Alibaba Cloud’s AgentLoop

Alibaba Cloud Native

Jun 9, 2026 · Cloud Native

Agentic AICon Recap: Agent Infrastructure and AgentOps Insights

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.

AI agentsAgent InfraAgentLoop

0 likes · 6 min read

Agentic AICon Recap: Agent Infrastructure and AgentOps Insights

Alibaba Cloud Native

Apr 14, 2026 · Artificial Intelligence

The Hidden Memory Crisis in AI Agents—and a Scalable Solution

AI agents often forget user intents after a few interactions, leading to poor experience and lost business, and while building a reliable memory system is technically feasible, teams face challenges in storage, retrieval, consistency, scalability, compliance, and operational overhead, which AgentLoop MemoryStore aims to solve with a serverless, enterprise‑grade architecture.

AI MemoryAgent ArchitectureAgentLoop

0 likes · 21 min read

The Hidden Memory Crisis in AI Agents—and a Scalable Solution

DeepNoMind

Apr 4, 2026 · Artificial Intelligence

How a 4,000‑Line NanoBot Architecture Enables a Controllable AI Agent

NanoBot demonstrates that a full‑featured, controllable AI agent can be built with roughly 4,000 lines of code by using a minimal runtime consisting of a MessageBus, an AgentLoop, a file‑based ContextBuilder, a registered ToolRegistry with JSON‑Schema validation, and lightweight Cron/Heartbeat mechanisms, offering a clear contrast to heavier frameworks like OpenClaw.

AI agentAgentLoopContextBuilder

0 likes · 22 min read

How a 4,000‑Line NanoBot Architecture Enables a Controllable AI Agent