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HyperAI Super Neural
HyperAI Super Neural
May 26, 2026 · Artificial Intelligence

Robin Integrates 550 Papers in 30 min, Closing the AI‑Driven Research Loop and Discovering dAMD Therapies

The Robin multi‑agent system combines literature mining, hypothesis generation, and experimental data analysis into a continuous AI‑driven workflow, integrating 550 papers in 30 minutes, benchmarking on the BixBench suite, and uncovering a ROCK‑inhibitor and the glaucoma drug Lipasudil as promising treatments for dry‑age‑related macular degeneration.

Large Language Modelautomated hypothesis generationbiomedical AI
0 likes · 14 min read
Robin Integrates 550 Papers in 30 min, Closing the AI‑Driven Research Loop and Discovering dAMD Therapies
High Availability Architecture
High Availability Architecture
May 14, 2026 · Artificial Intelligence

Build a 4‑Agent Claude‑Powered AI Team in One Weekend

This step‑by‑step guide shows how to create a specialized four‑agent system—research, production, quality, and distribution—coordinated by an orchestrator, using Claude and Claude Code, with detailed folder structures, prompt templates, CLI commands, and workflow automation to achieve high‑quality content output in a weekend.

AI agentsAutomationClaude
0 likes · 24 min read
Build a 4‑Agent Claude‑Powered AI Team in One Weekend
AI Architecture Path
AI Architecture Path
Apr 12, 2026 · Artificial Intelligence

How an Open‑Source Multi‑Agent AI System Transforms Job Hunting

Career‑Ops is an open‑source, Claude‑Code‑powered multi‑agent CLI that automates the entire job‑search pipeline—from job‑post scanning and resume generation to interview preparation and progress tracking—dramatically reducing manual effort and improving application success rates.

AICLIJob Search Automation
0 likes · 15 min read
How an Open‑Source Multi‑Agent AI System Transforms Job Hunting
AI Explorer
AI Explorer
Apr 3, 2026 · Artificial Intelligence

How AI Scientist‑v2 Is Pioneering Fully Automated Scientific Discovery

AI Scientist‑v2, an open‑source multi‑agent system that uses progressive agent tree search to generate hypotheses, run experiments, analyze data, and write papers, has produced the first AI‑written peer‑reviewed article while highlighting both its groundbreaking capabilities and associated security risks.

AI scientistOpen Sourceagent tree search
0 likes · 7 min read
How AI Scientist‑v2 Is Pioneering Fully Automated Scientific Discovery
Data STUDIO
Data STUDIO
Mar 30, 2026 · Artificial Intelligence

Why a Single AI Falls Short: Building a Multi‑Agent Expert Team for Superior Reports

The article demonstrates how a monolithic LLM struggles with multi‑dimensional market analysis and shows, through step‑by‑step code, how assembling specialized AI agents for news, technical and financial analysis yields clearer structure, deeper insight, and higher evaluation scores.

AI ArchitectureLLM evaluationLangChain
0 likes · 17 min read
Why a Single AI Falls Short: Building a Multi‑Agent Expert Team for Superior Reports
AI Product Manager Community
AI Product Manager Community
Mar 21, 2026 · Artificial Intelligence

Mastering AI Agents: From Core Concepts to Enterprise Deployment

This article provides a comprehensive, structured overview of AI agents, covering their fundamental definitions, core architecture (LLM, planning, memory, tool use), evolution from chatbots, the ReAct reasoning framework, multi‑agent systems, safety challenges like hallucination and prompt‑injection, and practical strategies for production‑grade deployment.

AI AgentLarge Language ModelPrompt Engineering
0 likes · 16 min read
Mastering AI Agents: From Core Concepts to Enterprise Deployment
SuanNi
SuanNi
Mar 16, 2026 · Artificial Intelligence

How OpenMAIC Turns Any Topic into a Fully Interactive AI Classroom

OpenMAIC is an open‑source AI platform that automatically converts a user‑provided topic or document into a complete interactive classroom with slides, quizzes, simulations, and multi‑agent collaboration, offering low‑cost, scalable education demonstrated by extensive trials at Tsinghua University.

AI educationOpenMAICinteractive learning
0 likes · 10 min read
How OpenMAIC Turns Any Topic into a Fully Interactive AI Classroom
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Mar 15, 2026 · Artificial Intelligence

Paper Reading: TiMi – An Inference‑Driven Multi‑Agent System for Quantitative Trading

TiMi is a reasoning‑driven multi‑agent framework that decouples strategy development from minute‑level deployment, leverages LLMs for semantic analysis, code generation and mathematical reasoning, and achieves stable profits, high execution efficiency and strong risk control across more than 200 stock and crypto trading pairs.

Financial AILLMQuantitative Trading
0 likes · 17 min read
Paper Reading: TiMi – An Inference‑Driven Multi‑Agent System for Quantitative Trading
PaperAgent
PaperAgent
Feb 24, 2026 · Artificial Intelligence

How AI Agents Can Auto‑Generate High‑Quality Research Flowcharts

This article introduces PaperBanana, a multi‑agent AI framework that automates the creation of academic illustration by retrieving references, planning descriptions, styling, visualizing, and iteratively refining images, and evaluates its performance on the new PaperBananaBench benchmark against existing baselines.

AI illustrationAutomationacademic graphics
0 likes · 8 min read
How AI Agents Can Auto‑Generate High‑Quality Research Flowcharts
Alimama Tech
Alimama Tech
Jan 27, 2026 · Artificial Intelligence

How Alibaba’s “Yuanfang” Agent System Enables Reliable AI Coding for Complex Ad Engines

This article details Alibaba‑Mama’s AI‑coding initiative, describing how a decoupled CommonAds architecture and a multi‑agent framework called “Yuanfang” transform large‑scale advertising engine development by integrating AI‑friendly design, context‑driven specifications, and automated code‑generation, testing, and validation pipelines.

AI codingCommonAdsIFLOW‑CLI
0 likes · 16 min read
How Alibaba’s “Yuanfang” Agent System Enables Reliable AI Coding for Complex Ad Engines
JD Tech Talk
JD Tech Talk
Jan 9, 2026 · Artificial Intelligence

How JoyCode Agent Reached 74.6% Pass@1 on SWE‑bench Verified with a Patch‑Test Co‑Generation Loop

This technical report details JoyCode Agent’s end‑to‑end pipeline that couples patch generation with fail‑to‑pass and pass‑to‑pass test creation, uses trajectory compression, CSR similarity retrieval, and multi‑agent iterative retries to achieve a 74.6% Pass@1 score on the SWE‑bench Verified benchmark while cutting compute costs by 30‑50%.

AI code repairPatch GenerationSWE-bench
0 likes · 38 min read
How JoyCode Agent Reached 74.6% Pass@1 on SWE‑bench Verified with a Patch‑Test Co‑Generation Loop
Xiaomi Tech
Xiaomi Tech
Dec 24, 2025 · Artificial Intelligence

DeepLight & AgentMat: Xiaomi and SJTU Launch AI Platform for Light Alloy Design

Xiaomi and Shanghai Jiao Tong University introduced DeepLight, an AI‑driven large‑model for lightweight alloys, together with the AgentMat multi‑agent framework that accelerates the full design cycle tenfold, and the LightAlloy‑Bench benchmark where DeepLight outperforms DeepSeek‑V3 and GPT‑4o by about 20 %.

AILarge Language ModelLightweight Alloys
0 likes · 8 min read
DeepLight & AgentMat: Xiaomi and SJTU Launch AI Platform for Light Alloy Design
JD Cloud Developers
JD Cloud Developers
Nov 3, 2025 · Artificial Intelligence

How JoyCode Agent Scored 74.6% Pass@1 on SWE‑Bench Verified: Inside the Patch‑Test Co‑generation Pipeline

JoyCode Agent leverages a multi‑agent, patch‑and‑test co‑generation framework with iterative validation, failure attribution, and experience‑driven retries to achieve a 74.6% Pass@1 rate on the SWE‑Bench Verified benchmark, dramatically reducing computational resources while delivering high‑quality code patches.

AI Code GenerationSWE-benchTesting Automation
0 likes · 34 min read
How JoyCode Agent Scored 74.6% Pass@1 on SWE‑Bench Verified: Inside the Patch‑Test Co‑generation Pipeline
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Oct 19, 2025 · Artificial Intelligence

QuantAgent Unveiled: A Multi‑Agent LLM Framework for High‑Frequency Trading (Code Open)

QuantAgent introduces a multi‑agent LLM framework that replaces text‑based inputs with raw OHLC price signals, decomposes trading decisions into Indicator, Pattern, Trend, Risk, and Decision agents, and achieves substantially higher direction accuracy and returns across ten financial assets in zero‑shot HFT experiments.

Financial AILLMhigh-frequency trading
0 likes · 10 min read
QuantAgent Unveiled: A Multi‑Agent LLM Framework for High‑Frequency Trading (Code Open)
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Oct 9, 2025 · Artificial Intelligence

Paper Review: TradingGroup – A Multi‑Agent Quantitative Trading System with Self‑Reflection and Data Synthesis

The paper introduces TradingGroup, a five‑agent LLM‑based quantitative trading framework that incorporates a self‑reflection mechanism, dynamic risk management, and an automated data‑synthesis pipeline, and demonstrates superior cumulative returns, Sharpe ratios, and lower drawdowns than rule‑based, ML, RL, and existing LLM strategies on five real‑world stock datasets.

Financial AILLMQuantitative Trading
0 likes · 14 min read
Paper Review: TradingGroup – A Multi‑Agent Quantitative Trading System with Self‑Reflection and Data Synthesis
IT Services Circle
IT Services Circle
Oct 6, 2025 · Artificial Intelligence

How JoyAgent‑JDGenie Enables 5‑Minute Enterprise‑Grade Multi‑Agent AI Apps

JoyAgent‑JDGenie, an open‑source, product‑grade multi‑agent system from JD Cloud, offers a fully‑featured, lightweight, end‑to‑end AI platform with model, tool, memory, agent, and application layers, allowing developers to launch a customized enterprise AI application in just five minutes, deployable locally or via Docker.

AIDeploymentJava
0 likes · 6 min read
How JoyAgent‑JDGenie Enables 5‑Minute Enterprise‑Grade Multi‑Agent AI Apps
Fighter's World
Fighter's World
Jun 8, 2025 · Artificial Intelligence

Designing an Entry‑Level Multi‑Agent System for Vertical Industry Scenarios

The article analyzes why production‑grade multi‑agent systems are essential for complex vertical domains, outlines their core benefits, identifies key engineering challenges such as orchestration, context handling, and tool integration, and proposes a practical entry‑level architecture with concrete design guidelines and takeaways.

AI agentsContext ManagementHuman-in-the-Loop
0 likes · 15 min read
Designing an Entry‑Level Multi‑Agent System for Vertical Industry Scenarios
Architect
Architect
Mar 6, 2025 · Artificial Intelligence

Analysis of the Manus Multi‑Agent AI System Architecture and Workflow

Manus is a general‑purpose AI agent that bridges thought and action through a multi‑agent architecture comprising planning, memory, and tool‑use modules, enabling autonomous task decomposition, execution, and result delivery across diverse scenarios such as travel planning, financial analysis, and education support.

AI AgentAutonomous PlanningMemory Management
0 likes · 15 min read
Analysis of the Manus Multi‑Agent AI System Architecture and Workflow
Baidu Geek Talk
Baidu Geek Talk
May 27, 2024 · Artificial Intelligence

Baidu Commercial Advertising Platform Multi-Agent Architecture: From Theory to Practice

Baidu’s Commercial Advertising Platform employs a multi‑agent architecture that combines large‑ and small‑model collaboration, SOP‑driven task decomposition, and long‑term memory to transform natural‑language queries into precise, personalized advertising actions, achieving up to 98.5% parsing accuracy and cutting analysis time from over 30 minutes to under one minute.

AI AgentBaiduErnie Bot
0 likes · 17 min read
Baidu Commercial Advertising Platform Multi-Agent Architecture: From Theory to Practice