Full-stack framework for building multi-modal agentic systems at scale
Key Features
Multi-Agent
Single Agent
Human-in-the-Loop
Streaming
Async Support
Type Safe
Short-Term Memory
Long-Term Memory
Shared Memory
Plugin System
Custom Tools
MCP Protocol
A2A Protocol
Code Execution
Web Browsing
File System Access
Sandboxing
Guardrails
Structured Output
DAG Workflows
Visual Builder
CLI
API Server
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 |
| Confidence | High |
| 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
Similar Tools
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 v20260324