AI手稿

Environment Requirements

This project primarily relies on Docker for development and deployment, requiring a relatively new version of Docker: - Docker 20.10+ - Docker Compose

Model capability requirements: - Supports LangChain chat model providers (default openai) - Support for FunctionCall - Support for Json Format output

Deepseek and GPT models are recommended.

Deployment Guide

Docker Compose is recommended for deployment:

services:
  frontend:
    image: simpleyyt/manus-frontend
    ports:
      - "5173:80"
    depends_on:
      - backend
    restart: unless-stopped
    networks:
      - manus-network
    environment:
      - BACKEND_URL=http://backend:8000

  backend:
    image: simpleyyt/manus-backend
    depends_on:
      - sandbox
      - claw
    restart: unless-stopped
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock:ro
      #- ./mcp.json:/etc/mcp.json # Mount MCP servers directory
    networks:
      - manus-network
    environment:
      # OpenAI API base URL
      - API_BASE=https://api.openai.com/v1
      # OpenAI API key, replace with your own
      - API_KEY=sk-xxxx
      # LLM model name
      - MODEL_NAME=gpt-4o
      # LLM temperature parameter, controls randomness
      #- TEMPERATURE=0.7
      # Maximum tokens for LLM response
      #- MAX_TOKENS=2000
      # More configuration options: https://docs.ai-manus.com/#/configuration

  sandbox:
    image: simpleyyt/manus-sandbox
    command: /bin/sh -c "exit 0"  # prevent sandbox from starting, ensure image is pulled
    restart: "no"
    networks:
      - manus-network

  claw:
    image: simpleyyt/manus-claw
    entrypoint: /bin/sh -c "exit 0"  # prevent claw from starting, ensure image is pulled
    restart: "no"
    networks:
      - manus-network

  mongodb:
    image: mongo:7.0
    volumes:
      - mongodb_data:/data/db
    restart: unless-stopped
    #ports:
    #  - "27017:27017"
    networks:
      - manus-network

  redis:
    image: redis:7.0
    restart: unless-stopped
    networks:
      - manus-network

volumes:
  mongodb_data:
    name: manus-mongodb-data

networks:
  manus-network:
    name: manus-network
    driver: bridge

Save as docker-compose.yml file, and run:

docker compose up -d

Note: If you see sandbox-1 exited with code 0, this is normal, as it ensures the sandbox image is successfully pulled locally.

Open your browser and visit <http://localhost:5173> to access Manus. For more configuration options, see: https://docs.ai-manus.com/#/en/configuration

Environment Setup

1. Download the project:

git clone https://github.com/simpleyyt/ai-manus.git
cd ai-manus

2. Copy the configuration file:

cp .env.example .env

1. Modify the configuration file. At minimum set API_KEY. See .env.example or Configuration for the full list of options:

API_KEY=sk-xxxx
API_BASE=https://api.openai.com/v1
MODEL_NAME=gpt-4o

Equivalent to docker compose -f docker-compose-development.yaml up

./dev.sh up

All services will run in reload mode, and code changes will be automatically reloaded. The exposed ports are as follows:
- 5173: Web frontend port
- 8000: Server API service port
- 8080: Sandbox API service port
- 5900: Sandbox VNC port
- 9222: Sandbox Chrome browser CDP port

> *Note: In Debug mode, only one sandbox will be started globally*

2. When dependencies change (`backend/pyproject.toml` or `frontend/package.json`), clean up and rebuild:

Rebuild images

./dev.sh build

Build images

./run build

Development Guide

Demos