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Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.
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, conv…
An opinionated list of awesome Pydantic-AI frameworks, libraries, software and resources.
Agent Skills implementation for Strands Agents SDK
This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.
An opinionated collection of markdownlint rules used by GitHub.
A minimal, secure Python interpreter written in Rust for use by AI
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
All parts of Claude Code's system prompt, 18 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, secur…
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
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, …
Re-implementation of the Let's Build a Compiler tutorial in Python, emitting WASM
Create web-based user interfaces with Python. The nice way.
Enterprise-ready Natural Language to SQL converter with multi-provider AI support (OpenAI, Anthropic, Gemini). Built for production scale databases (1000+ tables) with Clean Architecture.
Nearly Inference Free Embeddings: make your RAG queries 500x faster
Python bindings to the Tree-sitter parsing library
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Simple Safe Sandboxed Extensible Expression Evaluator for Python
MCP server to run Python code in a sandbox.
😸 Soothing pastel theme for the high-spirited!
A toolchain for web projects, aimed to provide functionalities to maintain them. Biome offers formatter and linter, usable via CLI and LSP.