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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A Python library providing key functional primitives for research in multimodal language models, agentic AI, and knowledge graphs, featuring unified model invocation, multi-agent collaboration and debate, knowledge graph lifecycle management, and multimodal generation.

Model & Inference FrameworkLarge Language ModelsMultimodal

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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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Transparent live-first benchmark harness for evaluating LLM Agent capability inside the OpenClaw runtime, with deterministic scoring and multi-dimensional assessment.

Model & Inference FrameworkLarge Language ModelsAI Agents

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A progressive AI Agent building tutorial covering 18 steps to implement a lightweight OpenClaw (pickle-bot) from scratch, featuring tool calling, multi-agent collaboration, and production-grade capabilities.

Agent & ToolingMulti-Agent SystemAI Agents

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A self-hostable AI research workspace for grounded chat, paper study, 206+ scientific skills, and 13-stage deep research execution.

OtherLarge Language ModelsRAG

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A minimal, learning-oriented reimplementation of the OpenClaw core architecture, demonstrating system-level AI Agent design including dual-loop Agent Loop, EventStream, Session persistence, three-tier context management, and WebSocket RPC gateway.

AI AgentsAgent FrameworkNode.js

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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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