Agno
High-performance multimodal AI agent framework with native memory and speed
About Agno
Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory, knowledge retrieval, and multimodal reasoning capabilities. It is designed to replace bloated agent frameworks with a pure, pythonic developer experience. Agno agents operate up to 10x faster than legacy orchestration libraries by eliminating unnecessary abstractions. With built-in support for vector databases (PgVector, Qdrant, Pinecone), structured output schemas, and agent-to-agent delegating protocols, developers can build complex autonomous assistants with under 20 lines of clean code.
The framework includes first-class multimodal tools allowing agents to analyze images, process video streams, execute code in secure sandboxes, and query SQL databases. Agno agents natively persist session state and user memory in PostgreSQL, making stateful conversations effortless across web sessions. Agno is fully open-source with extensive documentation, offering enterprise-ready middleware for authentication, telemetry, and rate limiting.
Install the framework via pip: `pip install agno`.
Define an Agent with your preferred LLM (OpenAI, Anthropic, Groq, Ollama) and tools.
Attach PgVector or local SQLite storage to give your agent long-term memory and knowledge RAG.
Run the agent interactively in the CLI or serve it as a FastAPI web application with one line of code.
Deploy to the Agno Cloud dashboard for continuous telemetry, tracing, and multi-user sessions.
Capabilities & Features
Common Use Cases
autonomous-agents
multi-agent-teams
multimodal-ai
rag-chatbots
automated-coding
Frequently Asked Questions
What is Agno and what happened to Phidata?
Agno is the next-generation evolution of Phidata, rebuilt from the ground up for extreme speed, multimodal agent workflows, and native enterprise memory persistence.
Is Agno free and open source?
Yes, Agno is 100% open source and free to use in commercial and personal applications.
Which LLMs does Agno support?
Agno supports all major foundation model providers including OpenAI, Anthropic, Gemini, Groq, Mistral, and local models via Ollama.
Free Plan
100% free open-source framework with unlimited local agent execution
Paid Plan
Agno Cloud from $29/mo for managed agent deployment, monitoring, and team workspaces
Pros & Cons
Up to 10x faster execution speed compared to legacy agent libraries
Clean, pythonic syntax with zero unnecessary framework bloat
Native multimodal support for images, video, and audio reasoning
Built-in PostgreSQL memory persistence and vector RAG integration
Completely open source with active developer community
Primary ecosystem focused on Python (TypeScript SDK in early development)
Migration required for legacy Phidata v1 codebases
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Langfuse
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Relevance AI
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Salt Security
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Salt Security provides runtime protection for APIs, specifically securing AI agents and their interactions. It detects and prevents attacks targeting API-driven AI systems.
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