HuggingFace ML Intern

Hugging Face

HuggingFace ML Intern is a fully autonomous AI agent developed by Hugging Face that operates as an independent machine learning engineer. It can research academic papers, generate ML code, train models, and deploy them — all without human interven…

OpenAI Skills Catalog

OpenAI

OpenAI Skills is the official Skills Catalog for Codex, implementing the Agent Skills open standard — a framework for packaging reusable capabilities that AI agents can discover and execute. The core principle is simple: write a skill once, use it…

Google ADK Samples

Google

Google ADK Samples is the official reference collection of production-quality agents built on top of Google's Agent Development Kit (ADK). The repository demonstrates how to build everything from simple conversational bots to complex multi-agent o…

Evolver

Evolver is an open-source self-evolving engine for AI agents, built around the Genome Evolution Protocol (GEP) — a principled approach to making AI agents improve themselves over time without manual prompt engineering. Rather than directly modifyi…

CL4R1T4S

CL4R1T4S (a stylized spelling of "claritas" — Latin for clarity) is an open-source repository collecting extracted and leaked system prompts from major AI products and coding assistants. With 24,400 stars on GitHub and an AGPL-3.0 license, it has …

AI Agents for Beginners

Microsoft

AI Agents for Beginners is an open-source educational curriculum from Microsoft that teaches developers how to design, build, and deploy AI agents. With over 58,000 GitHub stars and 20,000 forks, it has become one of the most widely adopted AI lea…

TrendRadar

AI-powered public opinion and trend monitoring tool with multi-platform aggregation, RSS feeds, LLM filtering, and intelligent smart alerts.

FastMCP

The fast, Pythonic way to build Model Context Protocol (MCP) servers and clients with minimal boilerplate.

Dify

Production-ready open-source platform for building agentic AI workflows with RAG, multi-model support, and visual orchestration.

LiteRT-LM

LiteRT-LM is Google AI Edge's official open-source inference framework for deploying Large Language Models directly on edge devices. Announced and open-sourced in April 2026, LiteRT-LM brings production-grade LLM inference to Android, iOS, Web bro…

RLM

RLM is a novel inference library from MIT's OASYS Lab that reframes how language models handle long contexts. Instead of stuffing enormous inputs into a single context window, RLM allows a language model to programmatically examine, decompose, and…

RAG-Anything

RAG-Anything is a comprehensive retrieval-augmented generation (RAG) framework developed by HKUDS Lab that eliminates the fragmentation of modern RAG pipelines. Where most RAG systems only handle plain text, RAG-Anything natively processes diverse…