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 enterprise-grade research agent built on NVIDIA NeMo Agent Toolkit, supporting shallow fast Q&A and deep multi-step research with auto-generated long-form reports with citations.

Multi-Agent SystemRAGAI Agents

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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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A modular Python toolkit developed by the University of Innsbruck that integrates information retrieval, re-ranking, and RAG generation, featuring 40+ pre-processed datasets and single-line pipeline construction.

Model & Inference FrameworkNatural Language ProcessingSDK

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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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A generative agent framework inspired by human dual-process theory, combining fast and slow thinking mechanisms with in-context reinforcement learning to efficiently solve complex interactive reasoning tasks.

OtherLarge Language ModelsReinforcement Learning

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