The .NET library to build AI agents with 30+ built-in connectors.
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Updated
Mar 18, 2026 - C#
The .NET library to build AI agents with 30+ built-in connectors.
SemantiClip is an intelligent video processing application that transforms video content into rich, structured written formats. Built with Microsoft Agent Framework, SemantiClip automates the transcription, segmentation, and content generation process - demonstrating agents orchestration with the use of SLM & LLM.
.NET implementation of the Agent2Agent (A2A) protocol to enable secure, interoperable communication between autonomous agents across frameworks and vendors.
.NET Agents technologies (Microsoft Agent Framework, MCP, A2A, AG-UI)
File-first memory infrastructure for AI agents, built with .NET 8 and Azure backends
An intelligent task management assistant built with .NET, Next.js, Microsoft Agent Framework, AG-UI protocol, and Azure OpenAI, demonstrating Clean Architecture and autonomous AI agent capabilities
Complete Enterprise Agentic AI Architectures with .NET, Build Production-Grade AI Systems for Senior .NET Architects & Tech Leads
Local-first desktop control plane for AI agents: embedded Orleans host inside the Uno app, Microsoft Agent Framework for agent/workflow orchestration, and provider adapters for Codex, Claude Code, GitHub Copilot, plus local runtimes.
Examples to demonstrate configuration and usage of basic agents and workflows from Microsoft Agent Framework, supporting thread persistence and structured output.
A lightweight, theory-aligned agent framework for .NET - build autonomous agents and multi-agent systems with clean, composable primitives.
Agent Collaboration Hub: Multi-Agent System (PM/SA/PG) for Requirements Analysis & Code Generation.
Microsoft Agent Framework (MAF) getting started — presentation series with runnable .NET samples
Backend implementing the Agent Framework for orchestrating agent workflows and message exchange. Acts as a content and response wrapper between Vercel-based clients and Microsoft systems, providing structured request/response handling, routing, and lifecycle management without embedding AI logic itself.
A wide scoped example using Agent Framework, RAG injection, history injection, knowledge ingestion, SQL persistence for session, remote RAG
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