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

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.

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.

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

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.

🚀 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.

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

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.

Python boilerplate for creating AI agents, MCP servers, API microservices and monolith services. All in one!

Task Planning and Tracking toolset for Pydantic AI agents, enabling hierarchical task management with subtasks, PostgreSQL storage for multi-tenancy, and an event system for webhooks and callbacks.

PineScript Expert: A Retrieval-Augmented Generation (RAG) agent using Pydantic AI that provides accurate Pine Script v6 guidance. It answers questions, offers code examples, and generates custom indicators/strategies for TradingView. Combines vector search with LLM capabilities for precise Pine Script programming assistance.