AgentEvolver: Towards Efficient Self-Evolving Agent System

Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems

Memory infrastructure for LLMs and AI agents

Tiny and powerful JavaScript full-text search engine for browser and Node

Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.

Code and implementations for the ACL 2025 paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi et al.

Efficent platform for inference and serving local LLMs including an OpenAI compatible API server.

A web-based collaborative LaTeX editor

🗂️A file list/WebDAV program that supports multiple storages, powered by Gin and Solidjs. / 一个支持多存储的文件列表/WebDAV程序，使用 Gin 和 Solidjs。

An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.

Batfish is a network configuration analysis tool that can find bugs and guarantee the correctness of (planned or current) network configurations. It enables network engineers to rapidly and safely …

AgentScope: Agent-Oriented Programming for Building LLM Applications

Master programming by recreating your favorite technologies from scratch.

Multilingual Document Layout Parsing in a Single Vision-Language Model

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

LLM agents built for control. Designed for real-world use. Deployed in minutes.

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Towards a Unified View of Large Language Model Post-Training

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Tree Search for LLM Agent Reinforcement Learning

Tongyi Deep Research, the Leading Open-source Deep Research Agent

[ICML'25 Oral] Multi-agent Architecture Search via Agentic Supernet

Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"

[ICML 2024] Selecting High-Quality Data for Training Language Models

The RedPajama-Data repository contains code for preparing large datasets for training large language models.