An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

verl: Volcano Engine Reinforcement Learning for LLMs

The fastest repo in history to surpass 50K stars ⭐, reaching the milestone in just 2 hours after publication. Better Harness Tools, not merely storing the archive of leaked Claude Code but also mak…

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

The open source coding agent.

Public repository for Agent Skills

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

Universal memory layer for AI Agents

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

kafka main

mit 6.824

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

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

Production-ready platform for agentic workflow development.

An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

A Cloud Native Batch System (Project under CNCF)

A toolkit to run Ray applications on Kubernetes

Production-Grade Container Scheduling and Management

🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platfor…

Apache Spark - A unified analytics engine for large-scale data processing

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)