Files
compose-anything/src/opencoze
Sun-ZhenXing ece59b42bf Add environment configuration and documentation for various services
- Created .env.example files for Kafka, Kibana, KodBox, Kong, Langfuse, Logstash, n8n, Nginx, OceanBase, OpenCoze, RocketMQ, TiDB, and TiKV.
- Added README.md and README.zh.md files for OceanBase, RocketMQ, TiDB, and TiKV, detailing usage, configuration, and access instructions.
- Implemented docker-compose.yaml files for OceanBase, RocketMQ, TiDB, and TiKV, defining service configurations, health checks, and resource limits.
- Included broker.conf for RocketMQ to specify broker settings.
- Established a consistent timezone (UTC) across all services.
- Provided optional port overrides in .env.example files for flexibility in deployment.
2025-10-22 11:46:50 +08:00
..
2025-10-15 14:00:03 +08:00
2025-10-06 21:48:39 +08:00
2025-10-06 21:48:39 +08:00

OpenCoze

English | 中文

OpenCoze is a comprehensive AI application development platform based on Coze Studio.

Important Notice

OpenCoze requires a complex multi-service architecture that includes:

  • MySQL (database)
  • Redis (caching)
  • Elasticsearch (search engine)
  • MinIO (object storage)
  • etcd (distributed configuration)
  • Milvus (vector database)
  • NSQ (message queue)
  • Coze Server (main application)
  • Nginx (reverse proxy)

Due to the complexity of this setup, we recommend using the official docker-compose configuration directly from the Coze Studio repository.

Official Deployment

  1. Clone the official repository:

    git clone https://github.com/coze-dev/coze-studio.git
    cd coze-studio/docker
    
  2. Follow the official deployment guide:

  3. The official docker-compose includes all necessary services with proper configuration.

System Requirements

  • Minimum Resources:

    • CPU: 8 cores
    • RAM: 16GB
    • Disk: 100GB SSD
  • Recommended Resources:

    • CPU: 16 cores
    • RAM: 32GB
    • Disk: 200GB SSD

Key Features

  • AI Bot Builder: Visual interface for creating AI-powered chatbots
  • Workflow Automation: Design complex workflows with AI capabilities
  • Knowledge Base: Manage and utilize knowledge bases for AI responses
  • Plugin System: Extend functionality with custom plugins
  • Multi-model Support: Integration with various LLM providers
  • Team Collaboration: Multi-user workspace with permission management

Getting Started

For detailed setup instructions, please refer to:

Alternative: Cloud Version

If self-hosting is too complex, consider using the cloud version:

Security Notes

When deploying OpenCoze:

  • Change all default passwords
  • Use strong encryption keys
  • Enable HTTPS with valid SSL certificates
  • Implement proper firewall rules
  • Regularly backup all data volumes
  • Keep all services updated to the latest versions
  • Monitor resource usage and performance

Support

For issues and questions: