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Environments

Isolated, customizable execution contexts for your AI agents. Configure runtimes, packages, and tools in secure containers with persistent cloud storage.

Your Agents' Workspace

Every environment comes with its own persistent file storage — a dedicated workspace where your agents can read, write, and organize files. Think of it as giving your AI assistant its own desk with drawers that stay organized between conversations.

Work Continues Across Sessions

Your files persist between conversations. Pick up exactly where you left off — no need to re-upload or re-explain.

Agents Save Their Work

Code, reports, images — everything agents create is saved automatically. Access results anytime from any device.

Ready When You Are

Pre-load documents, datasets, or code. Your agents have instant access to everything they need to get started.

Supported Runtimes

Python
3.9 - 3.13
Node.js
18 - 22
Go
1.20 - 1.23
Rust
Stable

Plus Java, Ruby, and PHP. Each runtime version can be configured per environment.

Features

Isolated Containers

Each environment runs in its own secure Docker container with dedicated resources and complete isolation from other workloads.

Multi-Language Support

Run Python, Node.js, Go, Java, Ruby, Rust, and PHP with configurable versions. Switch between Python 3.9-3.13 or Node 18-22 with a click.

Package Management

Install any system packages (apt), Python packages (pip), or Node packages (npm) without conflicts. Each environment maintains its own dependencies.

Persistent Cloud Storage

Workspaces are backed by Google Cloud Storage for durability. Your files persist across sessions and can sync with local development.

Terminal Access

Get direct terminal access to your running environments. Debug issues, run commands, and interact with your workspace in real-time.

MCP Server Integration

Extend agent capabilities with Model Context Protocol servers. Add custom tools, databases, and external services to any environment.

Encrypted Secrets

Store API keys and sensitive data securely. Environment variables and secrets are encrypted at rest and only accessible within your environment.

Fast Startup

Warm container pools ensure sub-second startup times. Your agents start executing immediately without waiting for container provisioning.

How It Works

1

Configure

Choose your runtime versions, install packages, set environment variables, and configure MCP servers.

2

Build

We automatically build a Docker image with your configuration. Images are cached for instant startup.

3

Execute

Assign the environment to your agents. They execute in isolated containers with full access to your configuration.

Use Cases

Development & Testing

Create isolated environments for each project with specific dependencies. Test code changes without affecting production.

Data Processing

Set up environments with pandas, numpy, and other data science packages pre-installed for efficient data analysis.

Web Scraping

Configure environments with browser automation tools, proxies, and parsing libraries for reliable web data extraction.

API Integrations

Build environments with MCP servers connected to your databases, CRMs, and internal tools for seamless automation.

Enterprise-Grade Security

Container Isolation

Each environment runs in its own isolated container with no access to other workloads.

Encrypted Storage

All data at rest is encrypted. Secrets are stored using AES-256-GCM encryption.

Network Control

Configure internet access per environment. Restrict outbound connections when needed.

Ready to get started?

Create your first environment and start running agents in isolated, customizable containers.