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CaiZongyuan
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agentscope-runtime

Deploy and run AI agents with sandboxed execution and OpenAI-compatible endpoints.

1|1|Updated Nov 17, 2025
Search Tags:#deployment#runtime#sandbox#adapter#agentscope
One-click install
npx skills add https://github.com/CaiZongyuan/EfficientCC --skill agentscope-runtime
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agentscope-runtime
Source: https://github.com/CaiZongyuan/EfficientCC/tree/main/AgentScope/agentscope-runtime
Command: npx skills add https://github.com/CaiZongyuan/EfficientCC --skill agentscope-runtime

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AgentScope Runtime provides a complete platform to build, deploy, and run AI agents with secure sandboxing, state management, and cross-framework adapters.

Core Features & Use Cases

  • Unified Agent App: Run agents as API services with streaming (SSE) and OpenAI-compatible endpoints.
  • Cross-framework adapters: Integrate different agent frameworks without rewriting business logic.
  • Secure sandboxing: Provide browser, filesystem, and remote sandbox environments for safe tool execution.
  • Example use case: Deploy a customer-support bot behind a scalable REST endpoint.

Quick Start

Start the AgentScope Runtime service and verify the health endpoint to ensure the system is ready.

Frequently Asked Questions about agentscope-runtime

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy AI agents with sandboxed execution and a unified API?▼

Deploy AI agents with sandboxed execution by starting the AgentScope Runtime service, which provides a unified API, secure browser and filesystem sandboxes, and OpenAI-compatible endpoints. Verify the health endpoint to ensure the system is ready.

Can I run agents built with different frameworks behind a scalable REST endpoint?▼

Run agents built with different frameworks behind a scalable REST endpoint using cross-framework adapters. AgentScope Runtime integrates multiple agent frameworks without rewriting business logic, exposing them as unified API services.

What deployment options are available for running production-grade agents?▼

Deployment options for running production-grade agents include local, Kubernetes, ModelStudio, and AgentRun environments. AgentScope Runtime supports these options to scale REST endpoints for use cases like customer-support bots.

Does AgentScope Runtime provide built-in state and memory management for deployed agents?▼

AgentScope Runtime provides built-in state and memory management for deployed agents. It offers comprehensive services including state, memory, and history tracking to support production-grade agent execution within its sandboxed environment.

What is the best way to integrate OpenAI-compatible endpoints with a custom agent runtime?▼

Integrate OpenAI-compatible endpoints with a custom agent runtime by leveraging AgentScope Runtime's unified API and streaming (SSE) support. Run agents as API services to achieve OpenAI compatibility without modifying the underlying execution sandbox.

When do I need a remote sandbox environment for AI agent execution?▼

Remote sandbox environments for AI agent execution are needed when running untrusted tools or requiring strict isolation. AgentScope Runtime provides browser, filesystem, and remote sandboxes to ensure safe tool execution within production deployments.

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