← all releases
kvcache-ai & Moonshot AI·Jul 27, 2026·v0.1.0·open source

AgentENV

AgentENV (AENV) is a distributed, open-source platform designed for running isolated AI agent environments at scale. It utilizes Firecracker microVMs to provide secure, kernel-level isolation while enabling rapid snapshotting, pausing, and forking of environments to support efficient agentic reinforcement learning workflows.

AI AgentsVirtualizationReinforcement LearningInfrastructure
overview

AgentENV (AENV) is a distributed, open-source platform designed for running isolated AI agent environments at scale. It utilizes Firecracker microVMs to provide secure, kernel-level isolation while enabling rapid snapshotting, pausing, and forking of environments to support efficient agentic reinforcement learning workflows.

key features
  • 01Firecracker microVM-based isolation for secure, kernel-level sandboxing
  • 02Instant environment state management with sub-100ms snapshot, pause, and resume capabilities
  • 03Native support for environment forking to enable parallel agent workflows
  • 04E2B-compatible HTTP API for drop-in integration with existing SDKs
  • 05Efficient resource utilization via memory ballooning and overlaybd-based on-demand image loading
related productsbrowse all →
AIO Sandboxopen sourceAIO Sandbox is an integrated environment designed for AI agents, combining a browser, terminal, filesystem, VSCode, Jupyter, and MCP Server into a single Docker container. This unified setup allows seamless development and execution of AI agents without the need for multiple services.Fractalsopen sourceFractals is an open-source recursive agentic task orchestrator developed by TinyAGI. It enables the decomposition of high-level tasks into self-similar trees of executable subtasks, which are then executed by an agent swarm in isolated git worktrees.MiroThinkeropen sourceMiroThinker is an open-source search agent model developed by MiroMindAI, designed for tool-augmented reasoning and real-world information seeking. It aims to match the deep research capabilities of leading AI models like OpenAI's Deep Research and Google's Gemini Deep Research.