A skills set and methodology for coding agents: clarify the task, plan, write tests, then code. The agent works with more discipline.
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224 living projects — from agent frameworks to prompt-injection defense. Each comes with our own note: why it matters, who it is for and how to start in three steps.
Stars, forks and activity refresh daily via the GitHub API · updated October 6, 2026
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A service that turns any website into clean Markdown or structured data for models. It can search, scrape, crawl a whole site and even click through a page.
A small Microsoft utility that converts PDF, Word, PowerPoint, Excel and other files into Markdown that is easy to hand to a language model.
An open coding agent for the terminal with a desktop app. It is not tied to one provider: plug in whichever models you have.
A toolkit for spec-driven development: principles and a spec first, then a plan and tasks, and only then code. Works with several coding agents.
OpenAI's lightweight coding agent that runs in the terminal and works on your project's code. Written in Rust.
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11 repositories
A platform where you assemble a team of AI agents, schedule them and get reports. Works with many models; deploy on Vercel or with Docker.
A multi-agent framework that plays out a whole software company: product manager, architect and engineer take roles and turn one sentence into a project together.
Microsoft's framework for agents that talk to each other. It has the high-level AgentChat API and AutoGen Studio, a no-code graphical interface.
A framework where agents get roles, goals and tasks and work like a small team. The mental model is simple: crew, roles, process.
A Claude Code plugin that turns it into a team of specialised agents: autopilot, team-work modes, and a deep interview before a task.
A catalog of AI agent use cases by industry: healthcare, finance, education, retail. Each use case links to an open-source project.
OpenAI's lightweight SDK: agents, tools, handoffs between agents and guardrails. Few abstractions, so it is quick to learn.
A Python framework for real-time voice and multimodal agents: compose a speech-model-speech pipeline from modules. Client SDKs for web and mobile included.
LiveKit's framework for realtime voice AI agents: the agent joins a call or room, listens, thinks and answers by voice.
Microsoft's newer framework for agents and multi-agent workflows in Python and .NET. It brings together ideas from AutoGen and Semantic Kernel.
An SDK for observing agents: it records sessions, tracks cost and shows the chain of steps. Integrates with CrewAI, LangChain, OpenAI Agents SDK and others.
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