PydanticAI

PydanticAISince 2026-02

PydanticAI is a lightweight, production-grade Python agent framework created by the core Pydantic team. It brings strict type validation, structured outputs, and clean dependency injection to generative AI development, ensuring models strictly adhere to domain schemas.

Designed to eliminate messy string parsing and unreliable tool outputs, PydanticAI treats LLM interactions as type-checked functions. It supports model agnosticism across OpenAI, Anthropic, Gemini, and Ollama, offering native telemetry via OpenTelemetry and seamless integration with Logfire.

AgnoSince 2025-10

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.