Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

TradingAgents: Multi-Agents LLM Financial Trading Framework

🙌 OpenHands: AI-Driven Development

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Unsloth is a local UI for training and running Gemma 4, Qwen3.6, DeepSeek, Kimi, GLM and other models.

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程