Infrastructure for recursive artificial intelligence models
Developed for Recursive Language Models, rlm is a plug-and-play inference library that supports different sandboxes. This Python-based tool standardizes complex language model processes, making them easier to integrate into different systems.
Updates
- August 2, 2026: Stars 4,987 → 5,343, latest release v0.1.3 (June 26, 2026).
What you get
- Infinite length context management
- Plug-and-play architecture running in a code environment
- Secure integration with different sandbox environments
Installation
pip install rlmscurl -LsSf https://astral.sh/uv/install.sh | sh
uv init && uv venv --python 3.12 # change version as needed
uv pip install -e .Running it
make quickstartIf you don't write code
Using the RLM library, build a structure that allows the language model to break down input, analyze it, and make recursive calls within itself. When instantiating the RLM class, define the configuration of the model you use as the backend and allow the model to interact with the code environment to solve complex tasks.
Repository: https://github.com/alexzhang13/rlm. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-18: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.