BeamShell enables AI agents and chat applications to securely execute commands on any server, container, or machine through a WebSocket relay system.
Simple setup, powerful remote command execution
Install BeamShell CLI on any server, container, cloud instance, or local machine. It connects to the relay server and generates an authentication URL.
Visit the provided authentication URL in your browser to authorize the connection. This creates a secure channel between your terminal and chat clients.
AI agents and chat applications can now send commands through the WebSocket relay. Commands execute on the target environment and results are sent back in real-time.
AI agent or Chat App
AWS Lambda + API Gateway
Any Server/Container/Machine
Commands flow from chat clients through the secure WebSocket relay to any BeamShell CLI instance, which executes them and returns the results in real-time.
BeamShell works wherever you need command execution - from local development to production servers
Run BeamShell on your laptop or desktop for AI-assisted development workflows.
Deploy on cloud instances for remote server management and monitoring.
Run inside containers for isolated, scalable command execution environments.
Integrate with build systems for AI-assisted deployment and testing workflows.
Deploy in serverless environments for on-demand command execution capabilities.
Multiple team members can connect to shared development or staging environments.
Whether you're developing locally, managing production servers, or running in containers, BeamShell provides the same secure, reliable command execution interface everywhere.
Secure remote command execution through WebSocket relay with AI chat integration
Execute shell commands on any server, container, or machine from any chat application or AI agent
Real-time bidirectional communication through AWS-powered serverless relay infrastructure
Token-based authentication with web-based authorization flow for secure access control
Automatic timeout and process termination prevents runaway commands from consuming resources
Future Model Context Protocol server support for seamless AI agent integration
Run on local machines, cloud servers, Docker containers, or any environment with native binaries for Linux, macOS, and Windows