Learning Resources Listings
Compare the best open-source listings for learning resources. Guides, curated lists, courses and examples. Ranked by GitHub stars, with install commands, what each one can touch and scan reports where available.
HiPER Agent
[ICML 2026] This is the official implementation for paper HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
Claude Skills Collection
A curated library of 137 production-grade skills for Claude and other AI coding agents.
OpenPASO
openPASO (formerly OASiS): an MCP server that lets an AI model run nine finite-element and multiphysics codes, with curated knowledge, verified execution and cross-code coupling. Under active development; contributions welcome.
ThePowerOfAnalytics ClaudeSkills
Skills helping anyone to build North Star Metrics, KPI Trees and plan/run complex analysis - Built using the content of my book The Power Of Analytics
Sidix
Free & Open Source AI Agent — Self-Hosted, Self-Learning, No Vendor API. Qwen2.5-7B + LoRA. 35 tools. Built on Islamic Epistemology (IHOS).
Claude Skills
A curated collection of skills for Claude Code and Codex — specialized capabilities across development, design, AI, security, and more. Part of the cdd.dev/skills family.
MCP Servers Schemas
This document provides a list of different MCP servers. For each server, we provide a schema definition that includes the latest basic information and tool definitions.
Kakunin Samples
Runnable examples for AI agent identity & compliance — certificate issuance, scope enforcement, and integrations for LangChain, CrewAI, Next.js & more.
Multi Agent System Architecture For Federal Funds Target Rate Prediction
End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).
Crewai Apps
Hyperagents that collaboratively work to act on your instructions. Example Blog Post editors.
Doctorg Deep Learning
Its a Disease Prediction Model on the basis of Given Symptoms and Weightage
Build Agentic AI And Gen AI Agents With MCP
Model Context Protocol (MCP) Bootcamp offers a deep dive into MCP architecture and its role in the Agentic AI ecosystem. Learn to build real-world, production-ready AI workflows using MCP with LangChain, LangGraph, and CrewAI through fully practical, project-based implementations.
List refreshed November 15, 2026. Data comes from public GitHub repositories.