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CrewFlow is a production-ready multi-agent AI workflow system built using CrewAI and Python. This project demonstrates how multiple AI agents collaborate to solve complex tasks such as research, analysis, and reporting. It showcases agent orchestration, task delegation, and modular AI system design used in real-world enterprise applications.

AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

Build programmatically custom agentic workflows, AI Agents, RAG systems for java

OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templates, Expert Agents with delegated sub-agents, proactive task management, media understanding - self-hosted with one setup script

TypeScript AI agent framework: cognitive memory, dynamic personalities, emergent behaviors and self-building designs

🦞+🔬 NanoResearch: The Autonomous AI Research Assistant

A compilation of the best multi-agent papers

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.

The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.

An open-source research agent system for your Zotero library.

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages OpenRouter on the backend for rapid inference with any leading model.

A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.

A repo lists papers related to LLM based agent

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.

A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

总结Prompt&LLM论文，开源数据&模型，AIGC应用

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

[NeurIPS 2025] Open-source Multi-agent Poster Generation from Papers

Harness LLMs with Multi-Agent Programming

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems