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RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
MAGI-1: Autoregressive Video Generation at Scale
verl: Volcano Engine Reinforcement Learning for LLMs
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
[ACL 2023] Reasoning with Language Model Prompting: A Survey
Pocket Flow Tutorial Project: Turns GitHub repo into Easy Tutorial with AI
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent & VSCode Agent (And other Open Sourced) System Prompts, Tools & AI Models.
Implementing DeepSeek R1's GRPO algorithm from scratch
Building a comprehensive and handy list of papers for GUI agents
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Train your AI self, amplify you, bridge the world
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
A GUI Agent application based on UI-TARS(Vision-Language Model) that allows you to control your computer using natural language.
《一人企业方法论》第二版，也适合做其他副业（比如自媒体、电商、数字商品）的非技术人群。
The official Python SDK for Model Context Protocol servers and clients
Model Context Protocol Servers
Local Deep Research is an AI-powered assistant that transforms complex questions into comprehensive, cited reports by conducting iterative analysis using any LLM across diverse knowledge sources in…
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
HunyuanVideo-I2V: A Customizable Image-to-Video Model based on HunyuanVideo
No fortress, purely open ground. OpenManus is Coming.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.