Harbor is a framework for running agent evaluations and creating and using RL environments.

Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.

Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across SGLang, vLLM, TRT-LLM, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.

Ongoing research training transformer models at scale

SGLang is a high-performance serving framework for large language models and multimodal models.

Can Language Models Rebuild Programs From Scratch?

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

Harness for running and evaluating AI agents against RL environments

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)