A self-evolving multi-agent AI scientist framework for end-to-end scientific discovery, from idea generation to paper publication.

Model Context ProtocolMulti-Agent SystemAI Agents

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An AI research assistant plugin that deeply integrates LLMs into Zotero, featuring paper chat, multi-paper comparison, Agent Mode for automated literature management, and note export to Obsidian/Logseq.

OtherRAGLarge Language Models

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A zero-dependency, Markdown-native autonomous ML research workflow system covering the full research lifecycle from idea discovery to rebuttal via cross-model adversarial collaboration.

Model & Inference FrameworkLarge Language ModelsMachine Learning

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An AI Agent-driven automated experiment framework that points at any code repo, autonomously analyzes, designs, runs experiments, and keeps improvements that work

Model & Inference FrameworkMachine LearningMulti-Agent System

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A daily automated AI ecosystem aggregation and digest tool. Crawls 10+ data sources including GitHub, HN, ArXiv, and HuggingFace, generates bilingual (CN/EN) reports via LLM analysis, and distributes through GitHub Issues, Web UI, RSS, and MCP Server.

Model & Inference FrameworkLarge Language ModelsModel Context Protocol

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A teaching-oriented multi-agent framework (PicoAgents) with a companion book, covering the full path from building LLM agents from scratch to production deployment, with 50+ examples, DAG workflow engine, autonomous orchestration, Computer Use Agent, and evaluation framework.

Model & Inference FrameworkRAGMulti-Agent System

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An AI-driven multi-agent research assistant based on LangGraph that automates the entire research workflow from hypothesis generation, data analysis, and visualization to comprehensive report writing.

OtherLarge Language ModelsMachine Learning

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An intelligent agent designed specifically for mathematical modeling that automatically handles problem analysis, mathematical modeling, coding, error correction, and paper writing to generate complete contest-ready papers.

Agent & ToolingPythonFastAPI

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OS Agents are MLLM-based systems that automate tasks on computers, phones, and browsers by operating through the environments and interfaces provided by operating systems (GUI and CLI). This comprehensive survey consolidates the current state of OS Agents research, providing insights to guide both academic inquiry and industrial development in this emerging field.

Docs, Tutorials & ResourcesPythonAI Agents

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An AI-curated weekly newsletter about AIGC (AI-Generated Content), powered by Agentic AI Agent and leveraging the latest AI and Serverless technologies to deliver the latest news, tools, and resources.

Docs, Tutorials & ResourcesTypeScriptNext.js

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