Learn about Microsoft Agent Framework

Microsoft Agent Framework is an open-source development kit for building AI agents and multi-agent workflows for .NET and Python. It brings together and extends ideas from Semantic Kernel and AutoGen projects, combining their strengths while adding new capabilities. Built by the same teams, it is the unified foundation for building AI agents going forward.

The hypermedia framework.

Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. Model-agnostic framework with CLI/API for creative writing, synthetic data generation, and dialogue simulation. - CHATS-lab/verbalized-sampling

Build chatbots in a matter of minutes with CSML, the first open-source chatbot engine and programming language dedicated to developing powerful conversational agents.

Web framework that integrates with OpenResty for creating web applications with Lua

mizu.js is a TypeScript/JavaScript library designed to provide a simple and efficient way to create dynamic web pages without the need for a complex framework.

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Ractor provides a fully-supervised, tokio-friendly actor framework for Rust frameworks. It is modelled closely off of Erlang’s gen_server along with extensions such as factories and distributed clusters.

Collection of thinking tools and frameworks to help you solve problems, make decisions and understand systems.

Collection of thinking tools and frameworks to help you solve problems, make decisions and understand systems.

The methods include tips for how to accommodate participants with diverse abilities to ensure that everyone feels included in a workshop setting no matter what they are capable of.