Give coding agents sandboxed shell runtimes with SWE-ReX

Give coding agents sandboxed shell runtimes with SWE-ReX

Use SWE-ReX when a coding agent needs a consistent runtime interface for local, containerized, or remote shell sessions with command output, exit codes, interactive tools, and parallel execution.

Prerequisites

Python, swe-rex, optional Modal or Fargate backend, local or remote shell environment

Installation

Use the upstream install or setup path that matches your environment:

• pip install swe-rex
• pip install 'swe-rex[modal]'
• pip install 'swe-rex[fargate]'
• pip install 'swe-rex[daytona]'

Requirements and caveats from upstream:

• Whether commands are executed locally or remotely in Docker containers, AWS remote machines, Modal, or something else, your agent code remains the same.
• 🦖 Support a broad range of platforms, including non-Linux machines without Docker.

Basic usage or getting-started notes:

• SWE-ReX is a runtime interface for interacting with sandboxed shell environments, allowing you to effortlessly let your AI agent run any command on any environment.

• This is [SWE-agent][] using SWE-ReX to run on 30 [SWE-bench][] instances in parallel:

• Source: https://github.com/SWE-agent/SWE-ReX

• Extracted from upstream docs: https://raw.githubusercontent.com/SWE-agent/SWE-ReX/HEAD/README.md

Documentation

• https://swe-rex.com/

Source

• Agent Skill Exchange