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AgentScope

Production-ready agent framework for building and running AI agents you can see, understand and trust

★ 27,470 GitHub Apache-2.0 ai-agentsmulti-agentagent-frameworkmcpalibaba AI Agents

Overview

AgentScope 2.0 is a production-ready, easy-to-use agent framework from Alibaba/ModelScope with 27K+ GitHub stars. It provides essential abstractions for building, running, and monitoring AI agents at scale. Key features include a unified event system for real-time frontend communication, a fine-grained permission system for controlling tool access, multi-tenancy and multi-session service for production deployments, workspace and sandbox support for executing code in isolated environments using local Docker or E2B backends, and an extensible middleware system for customizing the agent reasoning loop. AgentScope also supports MCP servers, RAG, long-term memory via Mem0 and ReMe, and multi-agent teams. It comes with a built-in web UI for monitoring and interacting with agents, and supports all major LLM providers including OpenAI, Anthropic, Google, and local models via Ollama and vLLM.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  agentscope:
    image: agentscope/copaw:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/agentscope:/data

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