AnyFrame

AnyFrame provides a robust runtime layer for managing virtual workspaces and agents with unparalleled efficiency. Key features include: * Instantaneous sandbox creation for any agent * Pauses and resumes agent execution with full state preservation * Snapshots entire workspace (filesystem, processes, memory) * Enables parallel execution of agent fleets * Centralized control plane via web UI or Python SDK This platform eliminates the tedious process of manually configuring sandboxes, allowing users to define an agent once and then boot a session in mere seconds. It maintains the full context of an agent's workspace, meaning that if an agent's operation is paused, it can be resumed hours or even days later precisely where it left off, without any loss of data or ongoing processes. This capability is essential for operations that are time-consuming or require intermittent interaction. AnyFrame empowers users to oversee every active, paused, or cold workspace within a unified interface, displaying critical metrics like CPU usage, memory consumption, and uptime. It supports any agent harness, including popular ones like Claude Code and OpenAI Codex, ensuring broad compatibility. The system also facilitates spawning multiple parallel agent fleets, allocating a fresh, appropriately sized sandbox for each task, and only charging for active run time. Built for developers and engineering teams, AnyFrame integrates seamlessly with existing tools like GitHub, Slack, and Linear. It's ideal for tasks requiring complex, long-running computational processes, extensive testing, development, and research, ensuring efficient resource utilization and continuous operational context.