AI agents
 --- # Datawhale Insights ## AI Agent Frameworks: Building Reliable Intelligent Applications To help learners start systematically, we’ve launched a series on AI agents: [**Hello-Agents Project Released — Learn Agents from Scratch**](https://mp.weixin.qq.com/s?__biz=MzIyNjM2MzQyNg=
AI programming
Cloud-Based AI Agents: Redefining the Programming Paradigm Cloud-based AI Agents are making significant advances, transforming how software is conceived, developed, and deployed. With zero human intervention, an “AI programming team” can directly deploy complex applications, leveraging ultra-large context capacities — reaching tens of millions in scale. Imagine simply stating your requirements,
inclusive finance
2025-11-08 12:50 Zhejiang The inclusive finance sector is facing multiple real-world challenges: * Complex business processes * Heavy information-processing workloads * Tight human resources To address these problems, the ICBC Software Development Center developed an intelligent assistant, Gong Xiaohui, powered by the MOA (Multi-Agent Orchestration) collaboration framework and the MCP (Multi-Channel Protocol)
LLM
Reinforcement Learning Framework for Large Language Model Agents First Implementation of Universal Multi-Agent Group Reinforcement --- Background Numerous studies show that multi-agent workflows with large language models (LLMs) often outperform single-agent systems — even without targeted training. Yet, most current LLM agent training frameworks are limited to single-agent training, leaving universal
AI tools
BettaFish: Multi-Agent Public Opinion Analysis Looking at today’s GitHub trending list, one open-source project is leading the way: BettaFish, also known by its codename "MicroSentiment". This tool is positioned as a multi-agent public opinion analysis assistant, aiming to: * Break the “information bubble” * Restore a complete picture of
AI workflow
openai-agents-python: A Lightweight Multi-Agent Workflow Framework GitHub Repo: openai/openai-agents-python Stars: 16.7k | License: MIT openai-agents-python is a lightweight yet powerful multi-agent workflow framework that enables flexible, vendor-independent AI solutions. Key Features * Multi-LLM Support — Works with OpenAI’s Response & Chat Completion APIs, and 100+ other LLMs for maximum flexibility.
ReasonMed
**2025-11-03 12:01 Beijing** # Building a Million-Scale Medical Reasoning Dataset to Empower Small Models to Surpass Large Models   --- ## **Introduction** Reasoning Language Models (RLMs) have shown
Cursor 2.0
Cursor 2.0 — Can It Make Money? Cursor 2.0 has officially arrived. While developers rushed to test the new features, a more important milestone emerged: Cursor has introduced its self-developed model — Composer — and radically redesigned its role in the product. This marks a decisive move in the AI coding
AI integration
zen-mcp-server: Multi-Model Context Protocol Server zen-mcp-server is a multi-model collaborative context protocol server designed to integrate multiple AI models and command-line tools, enhancing development team productivity. It enables seamless cooperation between various CLI tools and offers CLI-to-CLI bridging, allowing for task isolation, role specialization, and preserved conversational context. Repository: BeehiveInnovations/
HarmonyOS 6
The Birth of Brasília — A Metaphor for Innovation In 1956, Brasília emerged seemingly out of nowhere. Architects used this opportunity to break free from old frameworks, inventing a fresh spatial language and urban form. The result? A modern city now recognized as a UNESCO World Heritage site. History shows a
Spring AI
DeepResearch System Documentation 1. Introduction & Overview DeepResearch is a Java-based intelligent research automation system built with Spring AI and Alibaba Graph. It enables an end-to-end workflow — from information gathering to analysis, and finally, structured report generation. Key Capabilities * Reasoning Chain: * Automatically constructs a logical analysis process from collected materials
Apache RocketMQ
Apache RocketMQ x AI: Event-Driven Architecture for Asynchronous Agents --- 120th article of 2025 (Estimated reading time: 15 minutes) Adapted from the keynote by Zhou Li, Senior Technical Expert at Alibaba Cloud Intelligence Group, at the 2025 Global Machine Learning Technology Conference. The talk — "Apache RocketMQ x AI: Event-Driven