MetaGPT
DomesticFreeAgent Workflow
Requirement breakdown, architecture design, code generation, testing and delivery
Developer:Beijing Deep赋智 Technology Co., Ltd.
MetaGPTIntroduction
MetaGPT is a popular multi-agent framework developed by DeepSeek. Its classic use case simulates a software company team, where Product, Architecture, Development, and Testing agents collaborate to automatically progress from requirements (PRD) to code generation. By assigning fixed roles and standardizing output formats for each agent, MetaGPT enables multiple AI agents to work together following an engineering workflow—not just through simple chat, but by producing tangible deliverables. It is ideal for software prototyping, requirement breakdown, documentation writing, and project simulation. With open-source code, it empowers developers and technical teams to build multi-role collaboration systems or adapt it for other task-based workflows like marketing planning and proposal writing. As one of the most influential global open-source multi-agent projects, its generated content should be used for reference only; critical details require manual verification.
Main features of MetaGPT
Key Product Features
- 1Multi-agent team collaboration simulation
- 2Software development lifecycle: PRD → Architecture → Code → Testing
- 3Role Assignments and Standardized Output Specifications
- 4Requirement breakdown, phased project execution
- 5Compatible with multiple mainstream large language models
- 6Open-source framework, custom role customization
- 7Deliver structured documentation and code.
MetaGPT Pricing Plans
Free Tier, Paid Plans, Billing Options, Private Deployment & Enterprise Pricing
- 1Free tier: Open-source and free to use; compute costs are your responsibility.
- 2Paid: Based on the open-source edition; commercial support available via custom negotiation.
- 3Billing: Open Source (Free)
- 4Private Deployment: Supports on-premises local deployment
MetaGPT User Guide
Entry URL, Registration Requirements, Brief Operation Steps, and API / Client Support
Entry Point:docs.deepwisdom.ai/main/en/
- 1Entry: https://docs.deepwisdom.ai/main/en/
- 2Sign Up: Local development does not require a platform account.
- 3Steps: Install the framework and configure the model API key
- 4Select or customize role and workflow
- 5Input Requirements
- 6Run multi-role collaboration workflow
- 7View generated documents and code
MetaGPTParameter Overview
Information compiled from public sources; official information prevails.
- Is data used for training?
- Local Data Self-Management
- Underlying model
- Compatible with multiple large models
- Context length
- Follow the access model
- Multi-modal support
- Text, Extensible Document
- Search Online
- Scalable Search Tool
- File Parsing
- TXT, Markdown, and code files
- Enterprise Edition and Deployment
- No public information available
- Compliance Certification
- No public information available
- Domestic Availability
- No public information available
Field Description:Will my input be used for model training, and can I turn this off?
Field Description:Primary models supported by the product, or the range of switchable models
Field Description:The maximum context size per conversation determines the length of documents it can read.
Field Description:Supported input and output formats, including text, images, audio, video, and files
Field Description:Supports real-time web search and provides source links?
Field Description:Supports uploading files and parsing capabilities, such as PDFs, spreadsheets, and code.
Field Description:Does it offer an enterprise edition, on-premises deployment, and team permission management?
Field Description:Publicly disclosed security compliance certifications and generative AI service filing status
Field Description:Convenience of access and supported payment methods in mainland China