AI Agent Framework, the Pydantic way

AI observability platform for production LLM and agent systems.

Full-stack AI app generator — FastAPI + Next.js with agents, RAG, streaming, auth, and 20+ integrations out of the box.

OpenTelemetry Instrumentation for AI Observability

The first web framework designed for AI to write. Built on Python, FastAPI, Pydantic, and HTMX. By the authors of Two Scoops of Django.

AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.

Python Deep Agent framework built on top of Pydantic-AI, designed to help you quickly build production-grade autonomous AI agents with planning, filesystem operations, subagent delegation, skills, and structured outputs—in just 10 lines of code.

An SDK for working with LLMs and AI Agents from Apache Airflow, based on Pydantic AI

Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling

Unlock 650+ MCP servers tools in your favorite agentic framework.

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

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Learn Pydantic AI agents, step by step, using local models and ollama

Pydantic AI Research Agent Built with the PRP Framework Template

Learn how to build AI agents with PydanticAI

A unified agent orchestration hub that lets you configure and manage multiple AI agents (native, ACP, AGUI, Claude Code) via YAML, and exposes them through standardized protocols (ACP/OpenCode Server).

🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.

🐮 The SDK to build AI agents as distributed, orchestratable microservices

Hybrid RAG AI Agent built with MongoDB, Pydantic AI, and Docling - combines semantic and text search with reciprocal rank fusion.

Code examples for Building Effective Agents ported and adapted to use Pydantic AI

A production-ready FastAPI platform with modular components and a built-in control plane.

Pydantic AI agent that implements the idea of Claude Skills (progressive disclosure) with no reliance on Claude itself.

Python library that allows you to get structured responses in the form of Pydantic models and Python types from Anthropic, Google Vertex AI and OpenAI models

A library/CLI for running Agentic Slack bots with durable execution and bounded concurrency.

Aiohttp View that validates request body and query sting regarding the annotations declared in the View method

🚀 Production-ready template for building AI applications with Pydantic AI, FastAPI, PostgreSQL, Redis, LiteLLM, and comprehensive monitoring. Includes admin panel, CI/CD, testing, and observability out of the box.

The agent I built for my AI Agents series on YouTube - breaking down my entire process of building AI agents from idea to production!

RAG AI Agent with Realtime Source Validation (Human in the Loop) - Built with CopilotKit + Pydantic AI

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.