Stars
12 Weeks, 24 Lessons, AI for All!
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Reinforcement Learning via Self-Distillation (SDPO)
AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and supp…
A Systematic Analysis and Discussion of Claude Code for Designing Today's and Future AI Agent Systems
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
A modern animation library for React and JavaScript
All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, secur…
40+ tips for getting the most out of Claude Code, from basics to advanced - includes a custom status line script and Claude Code running itself in a container. Also includes the dx plugin: skills f…
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environment…
Pocket Flow: A minimalist LLM framework. Let Agents build Agents!
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
Defeating the Training-Inference Mismatch via FP16
Simple, reliable and well tested training code for quick experiments with transformer based models
Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. …
🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
The contents of /mnt/skills in Claude's code interpreter environment
Our library for RL environments + evals
Magentic-Marketplace: Simulate Agentic Markets and See How They Evolve
A high-throughput and memory-efficient inference and serving engine for LLMs
💫 Toolkit to help you get started with Spec-Driven Development
Source code for the X Recommendation Algorithm