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Sage

Production-ready multi-agent system framework for complex tasks, automation, browser workflows, and enterprise deployment.

★ 1,212 GitHub MIT agentsaillmmulti-agentworkflowautomation AI Agents

Overview

Sage is an open-source agent platform that turns complex work into reliable delivery. It combines planning, execution, self-check, memory recall, and tool-suggestion agents with a visual workbench, sandboxed execution, and omnichannel IM integration for WeChat, WeCom, Feishu, and DingTalk. Run it from the desktop, web, CLI, or Chrome extension, and automate recurring tasks with full progress visibility.

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:
  sage:
    image: deploy/prod/docker-compose.yml
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/sage:/data

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Guides & articles

How to Deploy Sage and Automate Complex Workflows: Hands-On Tutorial

A step-by-step tutorial on deploying Sage, connecting a model provider, and running multi-step automated workflows with delivery to WeChat, WeCom, Feishu, and DingTalk.

Sep 1, 2026

Sage: The Production-Ready Multi-Agent Platform for Complex Tasks

Discover Sage, the open-source multi-agent system framework that combines planning, execution, and self-check agents with a visual workbench, sandboxed runtime, and omnichannel IM delivery.

Sep 1, 2026