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An app to monitor the (Codex) situation
The awesome collection of OpenClaw Skills. Formerly known as Moltbot, originally Clawdbot.
Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.
[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Eigent: The Open Source Cowork Desktop to Unlock Your Exceptional Productivity.
为 Cursor、Windsurf、Cline 和其他 AI 驱动的编码工具提供访问、编辑和结构化处理飞书文档的能力，基于 Model Context Protocol 服务器实现。
MiniMax M2.1, a SOTA model for real-world dev & agents.
The absolute trainer to light up AI agents.
An Open Source implementation of Notebook LM with more flexibility and features
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)
An MBTI Exploration of Large Language Models
A curated list of reinforcement learning with human feedback resources (continually updated)
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
A MicroKernel Multi-Agents System Framework for Adaptive Social Simulation Powered by LLMs
A flexible foundation AI system for creating A2A-compatible autonomous AI agents that can collaborate, reason, and execute complex tasks through standardized agent-to-agent communication protocols.
拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construct…
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
MiniMax-M2, a model built for Max coding & agentic workflows.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.