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Tsinghua University
- https://xtma.github.io/
- https://macaron.im/mindlab
Stars
The absolute trainer to light up AI agents.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
Training library for Megatron-based models with bi-directional Hugging Face conversion capability
Data platform for context engineering. Context data platform that stores, observes and learns. Join the community❤️: https://discord.acontext.io
Universal skills loader for AI coding agents - npm i -g openskills
[Preprint] RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas
This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?
EverMemOS is an open-source, enterprise-grade intelligent memory system. Our mission is to build AI memory that never forgets, making every conversation built on previous understanding.
A scalable browser for building intelligent AI agents
[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents
Code for Paper: Training Software Engineering Agents and Verifiers with SWE-Gym [ICML 2025]
GRPO training code which scales to 32xH100s for long horizon terminal/coding tasks. Base agent is now the top Qwen3 agent on Stanford's TerminalBench leaderboard.
AgentFlow: In-the-Flow Agentic System Optimization
[ACM Computing Surveys 2025] This repository collects awesome survey, resource, and paper for Lifelong Learning with Large Language Models. (Updated Regularly)
AgentScope: Agent-Oriented Programming for Building LLM Applications
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Post-training with Tinker
Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR 2025)
dInfer: An Efficient Inference Framework for Diffusion Language Models
Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
The complete stack for AI Engineers: framework, runtime and control plane.
MCP-Universe is a comprehensive framework designed for developing, testing, and benchmarking AI agents