A Python package that gives programmatic access to Google NotebookLM: an nlm CLI and an MCP server with around forty tools to create notebooks, add sources and generate podcasts, videos, mind maps and summaries from the terminal or an AI agent.
STARRED REPOS
Hand-picked repositories and tutorials worth your time — what they are and why they matter.
Open source alternative to Semrush and Ahrefs: a self-hosted SEO suite (Docker or Cloudflare) for keywords, rank tracking, backlinks and audits, exposing an MCP server and skills so an AI agent works directly on your SEO data.
github/spec-kitRepo
GitHub's open-source toolkit for spec-driven development: the specify CLI turns a spec into a plan and tasks that AI agents (Claude Code, Copilot, Gemini, Codex) execute, instead of starting from the prompt.
BishopFox/aimapRepo
Tool that discovers exposed AI services on a network: it maps reachable model endpoints and LLM services, built for red teams and security assessments.
mindsdb/mindsRepo
Open-source workspace (formerly MindsDB, now MindsHub Cowork) where you delegate whole tasks — research, reports, scheduled operations — to agents that connect to your data and return publishable artifacts.
Production-ready development workflows for Claude Code, powered by specialized AI agents for code quality and automation.
Python utility that converts PDF, Office files, images and audio into clean Markdown, built for LLM pipelines.
pikpikcu/aireconRepo
Autonomous cybersecurity agent: pairs a self-hosted LLM (Ollama) with a Kali-style Docker sandbox and a TUI to automate recon and bug bounty — no API keys, no cloud.
SixHq/OvertureRepo
Open-source, locally running MCP server that maps a coding agent's execution plan (Claude Code, Codex, Cursor…) as an interactive flowchart before it writes any code.
Coding-assistant skill (Claude Code, Codex, Gemini CLI…) that turns a folder of code, SQL schemas, scripts and docs into a queryable knowledge graph — without sending your code anywhere.
Hierarchical document index for 'vectorless' RAG: instead of embeddings and similarity search, the LLM reasons over a tree structure to decide which section to open.
One command to find which models — out of hundreds, across providers — run on the hardware you have: it weighs RAM, VRAM and format to tell you what's realistic to run locally.
Optimized Ollama server setup for Mac Studio and other Apple Silicon Macs: headless configuration, automatic startup, resource tuning and remote management over SSH.
Step-by-step tutorial building your first AI agent in C# with the Microsoft Agent Framework.
How to expose AI agents behind a .NET Web API with the Microsoft Agent Framework.
Building a production-grade AI operations center in C# .NET by pairing AG-UI with the Microsoft Agent Framework.
An end-to-end RAG system in .NET 8 with OpenAI embeddings and the Qdrant vector database.
A full RAG stack in .NET 8: Azure Functions, Qdrant, a Neo4j graph and Hugging Face models.
The official Microsoft Agent Framework overview: concepts, components and programming model.
The official .NET Blog announcement of the Microsoft Agent Framework preview and its rationale.
Integrate OpenAI with the RAG pattern and vector search using Azure Cosmos DB for MongoDB (.NET)Link
Official tutorial: RAG and vector search in .NET using OpenAI and Azure Cosmos DB for MongoDB.
MongoDB's guide to integrating Semantic Kernel in C# with Atlas Vector Search.