Starred repositories
Autonomous coding agent as an SDK, IDE extension, or CLI assistant.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, …
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
An open-source AI agent that brings the power of Gemini directly into your terminal.
TrustRAG：The RAG Framework within Reliable input,Trusted output
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coo…
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
A lightweight, powerful framework for multi-agent workflows
📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors
Examples and guides for using the OpenAI API
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
The first "code-first" agent framework for seamlessly planning and executing data analytics tasks.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.