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InstaVM

InstaVM

AI

Production sandbox and control plane to run AI agents as isolated, observable, and controlled microVM servers.

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About InstaVM

InstaVM provides a production-grade control plane and local sandbox for running autonomous AI agents inside lightweight Firecracker microVMs. It focuses on secure, observable, and controlled execution: fast microVM boot (sub-200ms), strict isolation, snapshotting, and egress/SSH controls so agents can be run like production services. InstaVM includes CLI and SDK integrations, a skills/plugin surface for agent tooling (e.g., Claude Code marketplace), and defaults to the OpenAI Agents sandbox-provider path while supporting orchestration-heavy workflows via a Python SDK. The platform is aimed at developers and teams building autonomous agents requiring reproducibility, safety, and operational observability.

Screenshots

InstaVM screenshot 1
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Key Features

Firecracker MicroVMs: Runs agents inside Firecracker microVMs with sub-200ms boot times to deliver near-instant isolated execution environments for short-lived or bursty agent workloads.
Production Control Plane: Provides server-like controls for agents including lifecycle management, restart policies, and operator workflows so agents can be run and managed like production services.
Persistent Snapshots & Sessions: Snapshot and restore VM state and agent sessions to reproduce behaviors, debug failures, and roll back to known-good states for deterministic troubleshooting.
Access & Egress Controls: Fine-grained controls for SSH access, network egress, and resource shares to limit what agents can access and monitor outbound communications for safety and compliance.
CLI and SDK Integrations: ships a CLI and Python SDK for orchestration-heavy tasks and operator workflows, enabling automated creation, orchestration, and monitoring of agent VMs.
Skills & Plugin Surface: Provides an installable skill (use-instavm) and integrations with Claude Code and other agent marketplaces to allow agents to leverage VM capabilities (storage, snapshots, SSH) from skill frameworks.
Local Sandbox for Autonomous Workflows: Supports frameworks (e.g., clickclickclick) for enabling autonomous Android and desktop automation under controlled, reproducible environments.
Open Agent Provider Defaults: Defaults to OpenAI Agents’ sandbox-provider path while allowing raw HTTP or custom integrations for other LLMs and agent runtimes.
Firecracker microVM-based sandboxing with sub-200ms boot times
Control plane for running agents as isolated, observable, and controlled services
Support for sessions, VMs, snapshots, SSH access, egress controls, shared folders, and persistent volumes
Operator CLI (instavm) for quick workflows
Python SDK for orchestration and programmatic control
Skills/Plugin integration (instavm/skills) compatible with Claude Code, Codex, Cursor, OpenCode and other skills-enabled agents
Defaults agent creation to OpenAI Agents sandbox-provider path with raw HTTP only for confirmed gaps
Support for autonomous Android/computer automation via clickclickclick framework
Infrastructure references and docs covering access, CLI, compute, hosting, platform, setup, and storage

Use Cases

Safe Agent Development: Develop and test autonomous agents locally inside microVM sandboxes to validate behaviors and prevent accidental access to developer machines or production data.
Reproducible Debugging: Capture VM snapshots and agent sessions to reproduce bugs, inspect intermediate state, and iterate on agent reasoning or tool usage deterministically.
Productionizing Agent Services: Run long-running or scheduled agents with production-grade lifecycle management, observability, and restart controls to serve user requests reliably.
Security-First Execution: Constrain agent network egress and provide SSH-only access to analyze agent activity, enforce policies, and meet compliance requirements for sensitive workloads.
Integrating with Agent Marketplaces: Install InstaVM skills/plugins (e.g., Claude Code marketplace) so marketplace agents can orchestrate VMs, volumes, and snapshots as part of their workflows.
Autonomous Automation Testing: Use InstaVM with frameworks like clickclickclick to run automated Android or desktop tasks in isolated VMs for end-to-end agent-driven automation testing.
Safely execute untrusted or experimental agent code in isolated microVMs
Run and monitor production-grade autonomous agents with observability and access controls
Create reproducible agent environments using snapshots and persistent volumes for debugging and audits
Orchestrate multi-step agent workflows from Python or CLI tooling
Integrate agent sandboxing into Claude Code or other skills/plugin ecosystems
Automate interactions with Android or desktop environments using agent-driven frameworks (clickclickclick)

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