ZeroCore | Managed MicroVM Platform
Infrastructure for
MicroVM APIs
A managed micro-VM platform with REST APIs to create, snapshot, branch, and destroy lightweight virtual machines. Built for AI coding agents, browser automation, RL training, and cost-efficient cloud workloads.
Read the infrastructure gapThe Problem
AI infrastructure teams at Cognition, Cursor, OpenAI, and Replit built custom VM stacks internally because existing cloud primitives do not meet these runtime needs.
Snapshot Latency Is Too High
EC2-style snapshots can take 30+ minutes, which breaks iterative agent loops and fast rollback requirements.
Pause-and-Copy Interrupts Workloads
Firecracker snapshot flow pauses the VM, copies state, then resumes, interrupting long-running sessions.
No Native VM Branching
Current platforms do not expose branching as a first-class primitive for parallel decision exploration.
Linear Storage Cost Scaling
Without cross-tenant deduplication, storage spend grows linearly with tenant count and workload duration.
Browser Agents Need Massive Isolation
Browser automation requires thousands of isolated instances with sub-second startup and strong credential boundaries.
RL Requires Environment Forking
Training loops need to fork state at decision points to explore action space in parallel with deterministic execution.
What We're Building
A managed micro-VM platform powered by a custom hypervisor. Developers get a REST API to create, snapshot, branch, restore, and destroy VMs with near-instant startup and deterministic runtime behavior.
The platform is optimized for faster snapshots, native branching, lower storage cost through cross-tenant deduplication, and cheaper compute through spot-backed persistence and migration.
REST API: create, snapshot, branch, destroy
Zero-downtime checkpoint capture
Native multi-branch VM execution
Cross-tenant memory and disk dedupe
Spot-backed persistence and migration
Hardware VM isolation at high density
API-first VM primitives for AI-native systems.
Built for agent workloads that cannot compromise on isolation.
Two production teams use ZeroCore's managed MicroVM platform to make AI execution more secure, resilient and economical at scale.
Southeast Asian AI workforce platform
A fast-growing platform that runs customer support, sales follow-up, marketing and business operations through AI agents across messaging, CRM and payment workflows.
The challenge
Scale isolated agent runtimes without carrying the cost of always-on containers.
Protect customer sessions, credentials and business data with stronger tenant boundaries.
Keep long-running agent work recoverable when an environment is interrupted.
What ZeroCore deployed
Tiered MicroVM execution for credentialed, file-processing and external-action workloads.
Checkpoint snapshots and fast recovery for active agent tasks.
Spot-aware scheduling and suspend/resume for asynchronous workloads.
Business impact
Hardware-isolated execution for security-sensitive customers.
A premium dedicated-runtime offering for enterprise workloads.
Lower idle resource use and a stronger foundation for scale.
Regional enterprise automation specialist
A multi-industry delivery team building autonomous agents for document workflows, analytics, browser automation and AI-IoT systems.
The challenge
Maintain strict isolation across client agents, browser sessions, files and API credentials.
Create short-lived environments on demand for secure task execution.
Test models, prompts and orchestration paths in parallel without duplicating every environment.
What ZeroCore deployed
On-demand MicroVMs for each project or agent task.
Native branching for parallel POC validation and workflow experiments.
Cross-tenant deduplication and intelligent compute scheduling across projects.
Business impact
Stronger multi-tenant security and compliance posture.
Faster development cycles for model and workflow decisions.
More stable long-running automation and improved delivery economics.
Customer names and identifying details have been abbreviated to respect confidentiality.
Core Capabilities
Managed micro-VM primitives designed for AI-native workloads that need fast checkpoints, deterministic branching, strong isolation, and lower unit economics at scale.
Zero-Downtime Snapshotting
Write-protect trapping and a write-ahead log capture consistent point-in-time snapshots without pausing the VM workload.
Native VM Branching
Fork one running VM state into N parallel branches for concurrent exploration in coding agents and RL workflows.
Cross-Tenant Deduplication
Content-based block hashing deduplicates memory and disk state across tenants, driving logarithmic storage growth.
Spot-Backed Reliability
Persistent VM state on spot instances with fast snapshot migration to preserve reliability while cutting compute cost.
Sub-200ms Isolated Boot
Spin up thousands of hardware-isolated micro-VMs for browser and agent workloads with near-instant startup.
REST API Primitives
Create, snapshot, branch, restore, and destroy VMs through a programmable API built for production automation loops.
Use Cases
The same primitives power agent infrastructure, browser automation, RL environments, and lower-cost general purpose cloud workloads.
Checkpoint Every Tool Call
Snapshot continuously in long-running coding loops without stopping VM execution, enabling full undo and replay trajectories.
Instant Rollback on Failure
Roll back in seconds instead of restarting from scratch when agents encounter runtime failures or invalid intermediate states.
Parallel Branch Search
Fork one execution state into multiple branches and evaluate competing approaches in parallel before selecting the best result.
Performance Comparison
Baseline comparison from observed behavior across common microVM and agent-runtime infrastructure stacks.