Multi-agent framework simulating a full software company — PMs, architects, developers, analysts as coordinated AI agents
Key Features
Multi-Agent Async Support Short-Term Memory Long-Term Memory Shared Memory Self-Hosted Cloud Hosted
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Strengths
- Fast idea-to-app
- Coherent multi-agent planning
- Simulates real software workflows
- 24/7 project support
Weaknesses
- Variable code quality
- Complex debugging
- Heavily dependent on prompt design
- Poor SOPs cause cascading errors
MetaGPT Details
| Organization | DeepWisdom |
| Organization Type | Company |
| Funding | Series a |
| Category | Framework |
| Subcategory | Multi agent |
| Deployment | Hybrid |
| Primary Language | Python |
| Runtime | Python 3.9+ |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | pip install metagpt |
| GitHub Stars | 66,050 |
| GitHub Forks | 8,331 |
| Release Cadence | Monthly |
| Maturity | Stable |
| Pricing Model | Open core |
| Free Tier | MIT-licensed core is free |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Large (66k stars) |
| Community Activity | Active |
| Sentiment | Mixed |
| GPU Required | No |
| Research Date | 2026-03-24 |
| LLM Providers | OpenAI, Anthropic, Google, local models |
| API Keys Required | LLM provider API key |
Use Cases
- Automated software project generation from specs
- Full SDLC simulation
- Multi-agent software team coordination
- Idea-to-app prototyping
When to Use
Best for: Automated software project generation from natural language specifications
Avoid when: Fine-grained control over individual agent behavior is needed
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a