Agno is more than a framework — it is a unified platform for intelligent agents designed to build the next generation of AI applications. It supports multimodal and multi-agent systems, integrates over 23 model providers and more than 20 vector stores, and provides flexible routing and priority mechanisms that give developers unprecedented agility and choice.
Model-Agnostic Architecture
- Decouples agent logic from any single model provider, enabling free switching without changing business code
- Reduces vendor lock-in by letting teams select the most cost- and performance-efficient model per task
- Supports 23+ providers including OpenAI, Anthropic, Google, Cohere, Mistral, and local models
- Unified API surface so adding or swapping a model is a one-line configuration change
Priority-Aware Routing
- Optimizes AI-driven tasks end-to-end, from storage management to compute scheduling
- Assigns priority levels to different model routes based on latency, cost, and accuracy requirements
- Ensures intelligent systems can efficiently handle complex multi-step processing workflows
- Delivers enterprise-grade reliability with built-in fallback and retry logic
Multimodal Input/Output
- Natively handles text, images, and audio within a single agent pipeline
- Enables richer, more natural user interactions across chat, voice, and visual interfaces
- Supports multimodal tool outputs so agents can process and generate mixed content types
- Meets the demands of modern AI applications that require cross-modal reasoning
Collaborative Multi-Agent Workflows
- Provides persistent shared memory and context between agents for true collaboration
- Enables seamless information exchange so agents can coordinate on complex tasks
- Expands the capability boundaries of individual agents through team-based orchestration
- Scales to large-scale intelligent systems with role-based agent specialization