#
Starred repositories
A TypeScript framework for building MCP servers.
RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A course of learning LLM inference serving on Apple Silicon for systems engineers.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
An open protocol enabling communication and interoperability between opaque agentic applications.
[Support 0.49.x]（Reset Cursor AI MachineID & Bypass Higher Token Limit） Cursor Ai ，自动重置机器ID ， 免费升级使用Pro功能: You've reached your trial request limit. / Too many free trial accounts used on this machi…
11 Lessons to Get Started Building AI Agents
The official Python SDK for Model Context Protocol servers and clients
official repository for “Reinforcement Learning for Reasoning in Large Language Models with One Training Example”
Official Repository of Absolute Zero Reasoner
RM-R1: Unleashing the Reasoning Potential of Reward Models
Repo of paper "Free Process Rewards without Process Labels"
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
repo for paper https://arxiv.org/abs/2504.13837
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
[arXiv 2025] Efficient Reasoning Models: A Survey
Latest Advances on System-2 Reasoning
Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"