Agent Infra
To provide an all-in-one, integrated, and customizable sandbox environment that enables AI agents to operate browsers, code, and shells efficiently within a single container.
At a Glance
- AI Agent Developers
- Enterprise Automation Teams
- AI Infrastructure Researchers
AI Tools by Agent Infra
(1)
AIO Sandbox
Open Source AI Agent Sandbox
Discussions
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Latest News
Agent-Infra Releases AIO Sandbox: An All-in-One Runtime for AI Agents
AIO Sandbox: An Integrated and Customizable Sandbox Environment for AI Agents
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
AIO Sandbox adds support for Node.js 22 and updated Browser Kernel
Products & Services
An all-in-one execution environment for AI agents combining browser, shell, and code execution.
An aggregator for Model Context Protocol servers providing standardized tool access for LLMs.
Developer toolkits for Python, Node.js, and Go to manage sandbox lifecycles and interact with tools.
Market Position
Differentiates from single-function sandboxes (E2B, Browserbase) by offering a unified, all-in-one container environment that reduces data transfer overhead and configuration complexity.
Leadership
Founders
Haoming Wang
Researcher at ByteDance, specialized in GUI agents and reinforcement learning.
Haoyang Zou
Researcher at ByteDance, focused on agent infrastructure and multimodal models.
Huatong Song
Engineer/Researcher at ByteDance, contributor to UI-TARS and agent sandbox technologies.
Zehui Chen
Researcher at ByteDance, focus on AI agents and model evaluation.
Executive Team
Haoming Wang
Lead Researcher / Agent Infra Architect
Specialist in autonomous GUI agents and infra at ByteDance.
Zehui Chen
Core Researcher
Focus on agentic reasoning and evaluation stacks.
Founding Story
Created to solve the fragmentation of single-purpose sandboxes like E2B and Browserbase, which forced agents to move files across environments, adding latency and complexity. The vision was to provide a 'personalized computer' for every AI agent.
Business Model
Revenue Model
Open Source (Apache 2.0). Monetization via cloud-managed hosting on Volcano Engine (ByteDance).
Pricing Tiers
Self-hosted Docker container with full functionality.
Managed instance hosting on ByteDance's cloud infrastructure.
Target Markets
- AI Agent Developers
- Enterprise Automation Teams
- AI Infrastructure Researchers
- Autonomous Web Browsing (Browser Use)
- Coding Assistants and Autonomous Programming
- Multi-step Document/Data Processing
- AI Agent Evaluation and Testing
- ByteDance Internal Teams
- OpenHands Contributors
- LangGraph Users