AgentENV

AgentENV is a distributed platform for running large numbers of isolated AI-agent environments across one or more machines. It uses Firecracker microVMs to provide strong sandboxing while loading diverse OCI-compatible images on demand. Overlay-based storage and bounded local caching keep frequently used data close without requiring every image to fit on each host. Snapshot-backed sandboxes can pause, resume, fork, and persist memory and filesystem changes for parallel or recoverable workflows. The platform includes an aenv command-line interface for creating templates, starting shells, executing commands, and managing sandbox lifecycles. Its E2B-compatible HTTP API lets existing Python and TypeScript integrations target a self-hosted deployment with minimal changes. AgentENV is designed for high-density agentic reinforcement learning and currently requires trusted-network deployment because built-in authorization is not yet available.

Features

Firecracker microVM isolation
Distributed multi-host environment orchestration
On-demand OCI image loading
Fast pause, resume, snapshot, and fork operations
E2B-compatible HTTP API
Command-line sandbox lifecycle management

Project Samples

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License

MIT License

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Additional Project Details

Operating Systems

Linux

Programming Language

Rust

Related Categories

Rust AI Agents

Registered

5 days ago

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