Lists (5)
Stars
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.
Give your agents the power of the Hugging Face ecosystem
Build local voice agents with open-source models
OpenSource Claude Cowork. A desktop AI assistant that helps you with programming, file management, and any task you can describe.
Route Claude Code requests to local or alternative AI models while maintaining the same interface.
Ludic – an LLM-RL library for the era of experience
Package to calculate scattering phase shifts for arbitrary radial potentials using the phase shift method as well as resulting crosssections as mainly used in the context of elastic electron nucleu…
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
An interface library for RL post training with environments.
SkyRL: A Modular Full-stack RL Library for LLMs
A scalable asynchronous reinforcement learning implementation with in-flight weight updates.
A simple yet powerful agent framework that delivers with open-source models
Post-training with Tinker
Provider-agnostic, open-source evaluation infrastructure for language models
A 3D game engine designed for vibe coding
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environment…
MCP-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.
A PyTorch native platform for training generative AI models
LiveMCPBench is a benchmark for evaluating the ability of agents to navigate and utilize a large-scale MCP toolset. It provides a comprehensive set of tasks that challenge agents to effectively use…
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Collection of scripts and notebooks for OpenAI's latest GPT OSS models
Build compute kernels and load them from the Hub.
Flexible library for merging large language models (LLMs) via evolutionary optimization (ACL 2025 Demo).