AnyFrame

Product Introduction

1. Definition: AnyFrame is a specialized runtime layer and control plane designed for AI agent development and execution. It provides isolated, pausable microVM-based sandboxes for individual AI agents.
2. Core Value Proposition: It eliminates the inefficiency of manually managing agent environments by providing instant, stateful sandboxes that preserve memory, processes, and files, enabling scalable and parallel AI agent operations.

Main Features

1. Per-Agent Pausable Sandboxes: Each AI agent runs in its own isolated microVM (called a "frame"). The entire state—including RAM, running processes, and open files—can be snapshotted to disk in under one second, allowing for cost-effective pausing and exact-state resumption.
2. Centralized Fleet Management Dashboard: Provides a unified web UI to monitor all running, paused, and cold (stopped) frames. The dashboard displays real-time metrics per frame, such as CPU usage, memory consumption, uptime, and the active command, without requiring SSH or cloud console access.
3. Python SDK for Orchestration: Offers a programmatic interface (Python SDK) to dynamically create agents, boot sessions, and manage a parallel fleet of sandboxes. It allows for automated scaling where sandboxes are sized per task and spawned on-demand.

Problems Solved

1. Pain Point: The manual overhead and lack of state persistence in hand-rolled development environments for AI agents. Traditional methods require constant re-initialization and lose context when agents stop.
2. Target Audience: AI/ML Engineers building agentic systems, DevOps engineers managing AI infrastructure, and developers using AI coding assistants (like Claude Code, Cursor, OpenAI Codex) in automated workflows.
3. Use Cases: Long-running AI agent tasks like code refactoring, automated testing, data scraping, model training, and debugging where pausing and resuming progress is essential. It is also critical for running parallel agent fleets for batch processing or evaluation.

Unique Advantages

1. Differentiation: Unlike standard cloud VMs or containers, AnyFrame offers sub-second state capture and restoration at the microVM level per agent, unlike slower container checkpoints or stateless serverless functions. It provides a control plane specifically tailored for agent lifecycle management.
2. Key Innovation: The integration of a lightweight microVM hypervisor with a purpose-built orchestration layer to deliver "sessions" as a first-class primitive. This allows agents to have a persistent, resumable computer, bridging the gap between ephemeral functions and permanently-on expensive VMs.

Frequently Asked Questions (FAQ)

1. What is AnyFrame used for? AnyFrame is used to run, manage, and scale stateful AI agents in isolated, pausable sandboxes, ideal for development, testing, and production deployment of autonomous AI workflows.
2. How does AnyFrame's pausing technology work? AnyFrame uses microVM technology to snapshot an entire agent's environment—including RAM and processes—to disk in under a second, allowing you to stop paying for compute while preserving exact state for later resumption.
3. Can I run different AI models like Claude and Codex on AnyFrame? Yes, AnyFrame is model-agnostic. It can host any AI agent harness, including Claude Code, OpenAI Codex, Cursor, and custom agents, each in its own sandbox.
4. How does AnyFrame handle multiple concurrent agents? AnyFrame's Python SDK and fleet dashboard allow you to spawn and manage a parallel fleet of sandboxes, assigning one microVM per task or agent for isolated, scalable execution.
5. Is there a free trial for AnyFrame? Yes, AnyFrame offers a free trial to spin up your first frame in seconds without requiring a credit card.