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https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成

Learn AI and LLMs from scratch using free resources

Spec-driven development for large codebases

An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

Machine Learning and Agentic AI Resources, Practice and Research

The easiest way to use Agentic RAG in any enterprise

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

Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication.

Harness LLMs with Multi-Agent Programming

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

A curated list of awesome skills, tools, integrations, and resources for Hermes Agent by Nous Research

🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history

Easiest and laziest way for building multi-agent LLMs applications.

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

"Paper2Slides: From Paper to Presentation in One Click"

大厂发布的AI落地实践、顶尖实验室的最新论文、工业界的真实踩坑记录

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

🔬 Harness Vibe Research with Self-evolving AI Scientists

Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.

Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.