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OpenClaw-RL: Personalize openclaw simply by talking to it
Reinforcement Learning via Self-Distillation (SDPO)
Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with co…
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
FlashInfer: Kernel Library for LLM Serving
SGLang is a high-performance serving framework for large language models and multimodal models.
slime is an LLM post-training framework for RL Scaling.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
Repo for "Adaptation of Agentic AI"
🚀 The fast, Pythonic way to build MCP servers and clients.
[EMNLP 2025] Dataset and Code of "CIE: Controlling Language Model Text Generations Using Continuous Signals"
Pioneering Automated GUI Interaction with Native Agents
Official implementation of "SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience"
Live-SWE-agent: live, runtime self-evolving software engineering agent
"AnyTool: Universal Tool-Use Layer for AI Agents"
A general memory system for agents, powered by deep-research
Mobile-Agent: The Powerful GUI Agent Family
AndroidWorld is an environment and benchmark for autonomous agents
A free open source RAG based AI legal assistant.
STEP-GUI: The top GUI agent solution in the galaxy. Developed by the StepFun-GELab team and powered by StepFun’s cutting-edge research capabilities.
9 Different Ways to Optimize AI Agent Memories
Code and implementations for the ACL 2025 paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi et al.
🌍 AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"