Agno Review 2026

High-performance Python framework for multi-modal agents and teams, formerly known as Phidata.

Agno (the rebrand of Phidata) is a Python framework for building agents that combine LLMs, tools, memory, knowledge bases, and reasoning into production systems. The library positions itself as the 'fastest' agent framework — agents instantiate in microseconds, run with minimal overhead, and stream tokens with no buffering — and it ships first-class support for multi-modal inputs (text, image, audio, video) and reasoning models. Agents can be composed into teams with route, coordinate, or collaborate modes, mirroring patterns from CrewAI and AutoGen but with a smaller API surface. Agno includes built-in vector store integrations (PgVector, LanceDB, Qdrant, ChromaDB), a 'Knowledge' abstraction for RAG over PDFs, websites, and docs, and Memory v2 with summarization and forgetting. The included Agent UI (free, MIT-licensed) provides a chat surface for prototyping any agent without writing a frontend. Agno Cloud extends this with monitoring, multi-tenant deployments, hosted memory and knowledge stores, and a managed API gateway. The framework supports OpenAI, Anthropic, Google, Groq, Cerebras, DeepSeek, Mistral, AWS Bedrock, Azure, Ollama, vLLM, and any OpenAI-compatible endpoint, making it model-agnostic by default. Adoption has grown quickly inside companies that need a leaner alternative to LangChain.