rllm

★ 5.9k

vs

sema

★ 54

rllm vs sema

rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.; sema: Sema is a Lisp dialect that integrates LLM agents as core language primitives, providing a robust runtime that handles common agent scaffolding like retries, caching, and tool dispatch. It compiles to a fast bytecode VM, allowing LLM-powered scripts to be concise, shipped as single binaries, and easily understood by coding agents.