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.
Book Writing AI Agent
An intelligent, multi-agent system to autonomously plan, write, edit, fact-check, and publish a complete book using the CrewAI framework and Groq's LLaMA-3-70B model. This AI pipeline mimics the collaborative process of human authors, editors, and publishers to streamline creative book development.
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.
LLM Agents Radar
Live-updating index of LLM agent frameworks shipping on GitHub, refreshed every 15 minutes
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.