AgentNest, self-hosted sandboxes for AI agents

In plain words

AgentNest provides self-hosted sandboxes designed for running AI agents. It allows organizations to deploy and manage AI agents in isolated environments within their own infrastructure rather than relying on external services. The product is intended for developers and teams who need to execute AI agents while maintaining control over their computational resources and data. AgentNest is available as open-source software on GitHub.

written from the facts on this page · September 2026

From the sources

AgentNest gives AI agents disposable, policy-controlled environments for Python, shell commands, files, packages, browsers, GPUs, and Git work. It is self-hosted, Python-first, and deliberately not another cloud or cluster orchestrator. from agentnest import Sandbox with Sandbox ( "python:3.12-slim" , timeout = 60 ) as sandbox : sandbox . write_file ( "main.py" , "print('Hello from isolation')" ) result = sandbox . exec_shell ( "python main.py" ) print ( result . stdout ) Why AgentNest Secure defaults: non-root, read-only root, no capabilities, denied networking, limits, cleanup Egress allowlisting: let code reach pypi.org and nothing else, with every connection logged Agent-native:…from github.com

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