EvoScientist
✨A self-evolving multi-agent AI scientist framework for end-to-end scientific discovery, from idea generation to paper publication.
A self-evolving multi-agent AI scientist framework for end-to-end scientific discovery, from idea generation to paper publication.
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.
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.
An AI Agent-driven automated experiment framework that points at any code repo, autonomously analyzes, designs, runs experiments, and keeps improvements that work
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.
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.
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.
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.
A fully automated personal AI research assistant that supports multiple large language models to help users conduct in-depth research and information gathering.
An open-source multi-agent system that automatically converts academic papers into editable academic posters, supporting various model combinations including GPT-4o and local open-source models.
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