Full-stack framework for building multi-modal agentic systems at scale
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Long-Term Memory Shared Memory Plugin System Custom Tools MCP Protocol A2A Protocol Visual Builder Self-Hosted Cloud Hosted
Community Feedback
Strengths
- Extremely fast instantiation
- FastAPI-inspired ergonomics
- Production-ready with monitoring
- Excellent memory and knowledge base support
Weaknesses
- Python-only
- Rebranding confusion (Phidata to Agno)
- Docs catching up with rapid changes
Agno Details
| Organization | Agno (formerly Phidata) |
| Organization Type | Company |
| Funding | Series a |
| Category | Framework |
| Subcategory | Multi agent |
| Deployment | Hybrid |
| Primary Language | Python |
| Runtime | Python 3.10+ |
| License | MPL-2.0 |
| Commercial Use | Permissive |
| Install Command | pip install agno |
| GitHub Stars | 38,905 |
| GitHub Forks | 5,153 |
| Release Cadence | Weekly |
| Maturity | Stable |
| Pricing Model | Open core |
| Free Tier | MPL-2.0 licensed core is free |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Large (39k stars) |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-24 |
| LLM Providers | OpenAI, Anthropic, Google, Mistral, Groq, Ollama, local models |
| API Keys Required | LLM provider API key |
Use Cases
- Production multi-agent systems
- Knowledge-base-powered agents
- Multi-modal agent workflows
- Monitored agent deployments
When to Use
Best for: Production multi-agent systems needing speed and built-in memory
Avoid when: Need maximum third-party integrations or non-Python stack
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a