← All episodes

AI Repo: microsoft/agent-framework

2026-10-08

## Episode Summary In this episode, we cover: - **AI Repo: microsoft/agent-framework** (GitHub Trending) - [Read more](https://github.com/microsoft/agent-framework) - **AI Repo: cursor/plugins** (GitHub Trending) - [Read more](https://github.com/cursor/plugins) - **AI Repo: CursorTouch/Windows-MCP** (GitHub Trending) - [Read more](https://github.com/CursorTouch/Windows-MCP) - **AI Repo: smicallef/spiderfoot** (GitHub Trending) - [Read more](https://github.com/smicallef/spiderfoot) - **AI Repo: bmad-code-org/BMAD-METHOD** (GitHub Trending) - [Read more](https://github.com/bmad-code-org/BMAD-METHOD) --- *Sponsored by Ada, Ago Consulting, and Zen Semiconductor*

Full transcript

Skyler: Hey everyone, welcome back to Git News A I — the show where we dig through the hottest trending repositories on GitHub so you don't have to. I'm Skyler, and before we dive in, a huge thank you to today's sponsors: Ada, who helps teams seamlessly integrate A I into their workflows; Ago Consulting — that's "Ahh-Go" — your go-to for silicon development consulting all the way from A I to SoC; and Zen Semiconductor, an umbrella company with a whole portfolio of silicon-industry companies, plus they're behind Ada for deploying A I at scale in any business — and their Vect appliance is seriously cool, running local L L Ms and vector search on dedicated hardware. Alright, today we've got five repos that are absolutely worth your attention — we're talking multi-agent orchestration from Microsoft, a plugin ecosystem for Cursor, an M C P server that gives A I control over Windows, a powerhouse O S I N T automation tool, and an agile A I development methodology that's racking up stars like crazy — let's get into it. Skyler: First up — Microsoft's agent-framework, sitting at over fourteen thousand stars and climbing. So what is it? It's Microsoft's open-source framework for building, orchestrating, and deploying A I agents and multi-agent workflows, and it supports both Python and dot NET, which immediately makes it interesting because a lot of these agent frameworks are Python-only and leave the dot NET community out in the cold. Skyler: The core idea here is that building a single A I agent is one thing, but coordinating multiple agents working together toward a shared goal — that's where things get genuinely powerful and genuinely complicated. This framework tackles that complexity head-on. Skyler: What you get is a structured way to define agents, wire them together into workflows, and then deploy those workflows in a way that's actually production-ready. We're not talking about a research toy here — this is built with real deployment scenarios in mind. Skyler: The recent activity shows they just bumped package versions for a one-point-twenty-one release in Python, which tells you this project is moving fast and maintaining a proper release cadence. That's always a good sign for long-term viability. Skyler: What really stands out is the multi-agent orchestration layer. You can define how agents communicate, how they hand off tasks, how they handle failures — it's like a choreography system for A I agents, and honestly that's the hard part that most people building with agents run into pretty quickly. Skyler: If you're an M L engineer or a developer who's been hacking together agent pipelines with LangChain or AutoGen and feeling like you're duct-taping things together, this framework is worth a serious look. It's Microsoft-backed, actively maintained, and supports enterprise-grade workflows. Skyler: The dot NET support is a genuine differentiator — if your team lives in that ecosystem, you no longer have to build a Python bridge just to get in on the agent action. Check the show notes for the link, fourteen thousand stars and it's going up. Skyler: Next, let's talk about cursor-slash-plugins, which has crossed ten thousand stars. Now I want to be upfront — the A I relevance score on this one is lower than the others at around forty percent, but hear me out, because context matters here. Skyler: Cursor, if you haven't been living under a rock, is the A I-powered code editor that's taken the developer world by storm. It's basically VS Code with deep A I integration built right in, and it's become a daily driver for a huge chunk of the dev community. Skyler: This repository is the official plugin specification and the collection of official plugins for Cursor. So it's not A I itself, but it's the extensibility layer on top of one of the most popular A I coding tools in the world, which makes it pretty relevant to anyone building in this space. Skyler: The recent activity is telling — they just merged a Salesforce Headless Three-Sixty plugin. That's a pretty enterprise-y integration, which suggests Cursor is moving beyond just indie developers and going after larger organizational use cases. Skyler: If you're a developer who uses Cursor daily — and statistically speaking, a lot of you probably are — understanding the plugin ecosystem is valuable. It means you can extend your editor to fit your specific workflow rather than working around its defaults. Skyler: And if you're on the other side of the equation — if you're building tooling for developers — the plugin spec gives you a clear path to integrating with Cursor directly. That's a distribution channel into an incredibly engaged developer audience. Skyler: The TypeScript-based spec is clean and approachable, and the official plugins serve as great reference implementations. Ten thousand stars is no joke for what is essentially a specification repository — it tells you how hungry the Cursor community is for extensibility. Skyler: Definitely check the show notes if you want to explore building your own Cursor plugin or just want to see what's already out there. Skyler: Alright, number three — Windows-MCP by CursorTouch, and this one is genuinely fascinating. Eight thousand three hundred stars for an M C P Server for Computer Use in Windows. Skyler: So let's unpack that. M C P stands for Model Context Protocol, which is Anthropic's open standard for connecting A I models to tools and data sources in a structured way. It's been getting a lot of traction as a kind of universal plugin layer for L L Ms. Skyler: What Windows-MCP does is implement an M C P server that gives an A I model the ability to actually use a Windows computer — like, control it. We're talking mouse movements, keyboard input, reading the screen, interacting with applications. Computer use, as the description says. Skyler: This is significant because computer use A I — the ability for an L L M to actually operate a graphical interface — is one of the more exciting and honestly one of the more practically useful frontiers in A I right now. Anthropic has been pushing this with Claude, and tools like this bring that capability to Windows environments. Skyler: Think about the automation possibilities here. Instead of writing brittle R P A scripts that break every time a UI changes, you could have an A I agent that just... figures it out visually. That's a fundamentally different approach to automation. Skyler: The Python implementation keeps it accessible, and the fact that it's M C P-compliant means it slots into any toolchain that already speaks M C P. You're not locked into a specific model or platform — it's a server that any M C P-compatible A I can talk to. Skyler: The dependency bumps in recent activity tell you it's being actively maintained, which for a project this young and this experimental is reassuring. Eight thousand stars says the community is excited about where this is going. Skyler: If you're building automation tools, exploring agentic workflows, or just want to give your A I assistant the ability to actually do things on a Windows machine, this is a project to watch. Show notes have the link. Skyler: Number four — SpiderFoot, and this one's a bit of a different flavor. Twenty-three thousand stars, written in Python, and described as automating O S I N T for threat intelligence and attack surface mapping. Skyler: O S I N T — Open Source Intelligence — is the practice of collecting and analyzing publicly available information. In the security world, it's how you figure out what an attacker can learn about you before they ever try to break in. Skyler: SpiderFoot automates that entire process. You point it at a target — a domain, an IP, an email address, whatever — and it goes out and correlates data from hundreds of sources to build a comprehensive picture of that target's digital footprint. Skyler: The A I angle here is real — modern threat intelligence is increasingly A I-augmented, and SpiderFoot generates the kind of structured data that feeds beautifully into A I analysis pipelines. It's a data collection layer that A I models can reason on top of. Skyler: With twenty-three thousand stars, this is clearly a trusted tool in the security community. The recent updates are housekeeping — jQuery version bumps, static file path fixes — which actually speaks well of the project's maturity. Core feature work is done; they're polishing. Skyler: If you're a security engineer, a pen tester, or you're building A I-powered security tooling and you need a robust way to gather intelligence data programmatically, SpiderFoot is absolutely worth adding to your toolkit. Skyler: The web UI makes it accessible even if you're not a Python developer, but the real power is in using it programmatically or as part of a larger automated pipeline. Check the show notes for the link — twenty-three thousand stars for a reason. Skyler: And finally — saving what might be the most interesting for last — BMAD-METHOD by bmad-code-org. Fifty-three thousand nine hundred and fifty-six stars. Let that sink in. Fifty-four thousand stars for a methodology repository. Skyler: BMAD stands for Breakthrough Method for Agile A I Driven Development. It's not a framework in the traditional sense — it's more like a structured approach and set of practices for building software when A I is a core part of your development process. Skyler: The idea is that traditional agile methodologies weren't designed with A I coding assistants in mind, and if you just bolt an L L M onto your existing workflow, you're leaving a ton of value on the table. BMAD proposes a rethink of how you structure work, prompts, roles, and artifacts when A I is doing a significant chunk of the actual coding. Skyler: The recent activity is telling — they just introduced a Toolsmith module that replaces the old BMad Builder, and they're actively updating skill documentation. This isn't a static methodology doc that someone wrote and abandoned — it's evolving with the field. Skyler: What makes BMAD compelling is that it's opinionated in the right ways. It gives you concrete patterns for how to break down work so that A I agents can execute it effectively, how to structure your prompts as reusable skills, and how to orchestrate multiple A I roles within a project. Skyler: If you've ever tried to use Cursor or Claude or any coding A I on a complex project and felt like you were constantly fighting to keep the A I on track, BMAD is trying to solve exactly that problem at a methodological level. Skyler: Fifty-three thousand stars is wild for this kind of repo — it suggests this is hitting a real nerve. Developers are hungry for structure around A I-driven development, and BMAD is one of the most comprehensive attempts to provide it. Skyler: Whether you adopt it wholesale or just cherry-pick the practices that make sense for your team, there's a lot of practical wisdom in here. Definitely check the show notes — this one is worth spending a real afternoon with. Skyler: And that's a wrap on today's repos — what a lineup. Huge thank you to our sponsors: Ada for helping teams bring A I into their workflows the right way, Ago Consulting — "Ahh-Go" — for world-class silicon development expertise from A I all the way to SoC, and Zen Semiconductor for their incredible portfolio of silicon companies and for building the Vect appliance, which lets you run local L L Ms and vector search on dedicated hardware — seriously impressive stuff. If you enjoyed this episode, go check out AI Special Report, another great show in the Ada podcast network that digs deep into the latest A I news and analysis. And as always — subscribe wherever you get your podcasts, drop us a rating if you're feeling generous, and check the show notes for links to every repository we covered today. I'm Skyler, and I'll see you in the next one.
Ada Podcasts · Daily AI, silicon, and markets — brought to you by Ada, Ago Consulting, and Zen Semiconductor. · Advertise with us