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.
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. This page was machine-translated from the Turkish original · the Turkish version prevails.