AI observability platform for production LLM and agent systems.
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.
Full-stack template for AI/LLM apps: FastAPI backend + Next.js frontend, optimized for PydanticAI, LangChain, LangGraph, CrewAI, or DeepAgents agents—with type-safe tools, WebSocket streaming, conversation persistence, auth, multi-DB support, background tasks, observability, and 20+ integrations.
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)
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.
🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.
Code examples for Building Effective Agents ported and adapted to use Pydantic AI
🚀 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.
CLI for creating and evolving modular full stack Python applications over time, built on tools you already know.
This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.
A library/CLI for running Agentic Slack bots with durable execution and bounded concurrency.
AI web parser library + CLI
A FastAPI extension for integrating common AI agent frameworks.
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.
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.
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