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Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
Flyte 2 is described as a durable AI runtime for running training, serving and agent workloads, with automatic recovery from infrastructure and code failures. Workflows are written in Python, and the project is distributed as Apache 2.0 open source under the Linux Foundation.
HyperFrames lets AI agents compose videos by writing HTML, CSS & JS — originated by HeyGen, built for the community. Open source under Apache 2.0.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
AI Dev Jobs lists open positions for AI developers, covering technologies such as PyTorch, TensorFlow, LLMs, RAG, and computer vision, with salary data and requirements. It also provides a free public REST API and MCP server for AI job search, matching, and candidate-reviewed application preparation.
Gemini CLI is a terminal-based tool that brings Gemini models into the local development environment. It can query and edit large codebases, generate apps from images or PDFs, and automate workflows. Documentation covers configuration, extensions, agent skills, and IDE integration. Release channels include nightly, preview, and stable.
