Agno
Agno is a lightweight library tailored for building Agents equipped with memory, knowledge, tools, and reasoning capabilities. This innovative framework allows developers to create various types of Agents, including reasoning agents, multimodal agents, and teams of agents, which can operate autonomously and efficiently.
Key Features:
- Model Agnostic: Connects to over 23 model providers without lock-in.
- Lightning Fast: Agents instantiate in about 3μs and utilize around 6.5 Kib of memory on average.
- Natively Multi Modal: Supports text, image, audio, and video inputs/outputs.
- Advanced Multi-Agent Architecture: Offers different collaboration modes for teams of agents.
- Agentic Search: Built-in capabilities for runtime information searching using various vector databases.
- Long-term Memory & Storage: Provides mechanisms for Agents to store knowledge and session data.
- Pre-built FastAPI Routes: Simplifies deployment with ready-to-use FastAPI interfaces.
Benefits:
Agno is designed for performance as well as flexibility, making it suitable for a wide range of applications from basic inference tasks to complex multi-agent systems. Developers can harness the power of AI more effectively with Agno's accessible documentation, supportive community, and performance-oriented features.
Highlights:
- Participate in the Global Agent Hackathon with prizes totaling $20,000!
- Agno is actively maintained with contributions from a diverse developer community, encouraging collaborative growth and innovation.