GitHub Repos Worth Knowing

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

TradingAgents: Multi-Agents LLM Financial Trading Framework

A high-throughput and memory-efficient inference and serving engine for LLMs

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

🙌 OpenHands: AI-Driven Development

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

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

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, FLUX and more.

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

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

The best-benchmarked open-source AI memory system. And it's free.

Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.