docs: add some new links

Author: mehdihadeli

Program.cs

@@ -0,0 +1,7 @@
+# Agent Client Protocol (ACP) 
+
+## Resources
+- [Agent Client Protocol (ACP) - agentclientprotocol.com](https://agentclientprotocol.com/)
+
+## Articles
+- [Agent Client Protocol (ACP) - Jetbrains](https://www.jetbrains.com/help/ai-assistant/acp.html)

ReleaseNotes.csproj

@@ -20,4 +20,8 @@
 - [microsoft/agent-framework](https://github.com/microsoft/agent-framework) - A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
 
 ## Samples
-- [microsoft/agent-framework/dotnet/samples](https://github.com/microsoft/agent-framework/tree/main/dotnet/samples)
+- [microsoft/agent-framework/dotnet/samples](https://github.com/microsoft/agent-framework/tree/main/dotnet/samples) ⭐
+- [microsoft/Agent-Framework-Samples](https://github.com/microsoft/Agent-Framework-Samples) - Agent Framework Samples - showcasing ways in which agent framework can be utilized.
+- [luisquintanilla/hello-world-agents](https://github.com/luisquintanilla/hello-world-agents) - Sample .NET app using Microsoft Agent Framework to showcase collaborative AI agents (e.g. writer + editor) with web & console interfaces.
+- [elbruno/elbruno.agentsorchestration](https://github.com/elbruno/elbruno.agentsorchestration) - A lightweight .NET library for orchestrating multiple AI agents through a 6-step pipeline (Plan → Parse → Execute → Verify → Review → Report).
+- [luisquintanilla/dotnet-ai-e2e](https://github.com/luisquintanilla/dotnet-ai-e2e) - End-to-end .NET AI demo: MEAI, MAF, MCP, Aspire, Vector Data, Python polyglot agents, and AI Evaluation

docs/ai/acp.md

@@ -2,10 +2,15 @@
 
 ## Resources
 - [microsoft/ai-agents-for-beginners](https://github.com/microsoft/ai-agents-for-beginners) - 12 Lessons to Get Started Building AI Agents
+- [huggingface/agents-course](https://github.com/huggingface/agents-course) - This repository contains the Hugging Face Agents Course.
 
 ## Samples
 - [NirDiamant/GenAI_Agents](https://github.com/NirDiamant/GenAI_Agents) - This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
 - [NirDiamant/agents-towards-production](https://github.com/NirDiamant/agents-towards-production) - This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
+- [luisquintanilla/maf-ghcpsdk-sample](https://github.com/luisquintanilla/maf-ghcpsdk-sample)
 
 ## Tools & Libraries
-- [kagent-dev/kagent](https://github.com/kagent-dev/kagent) - Cloud Native Agentic AI 
+- [microsoft/agent-framework](https://github.com/microsoft/agent-framework) - A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
+- [kagent-dev/kagent](https://github.com/kagent-dev/kagent) - Cloud Native Agentic AI 
+- [ag-ui-protocol/ag-ui](https://github.com/ag-ui-protocol/ag-ui) - AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications
+- [pydantic/pydantic-ai](https://github.com/pydantic/pydantic-ai) - GenAI Agent Framework, the Pydantic way

docs/ai/agent-framework.md

@@ -0,0 +1,12 @@
+# AI Security
+
+## Articles
+- [Docker Sandboxes - docs.docker.com](https://docs.docker.com/ai/sandboxes/)
+- [Claude Code sandbox - docs.docker.com](https://docs.docker.com/ai/sandboxes/agents/claude-code/)
+- [Copilot sandbox - docs.docker.com](https://docs.docker.com/ai/sandboxes/agents/copilot/)
+- [Beyond permission prompts: making Claude Code more secure and autonomous](https://www.anthropic.com/engineering/claude-code-sandboxing)
+- [Sandboxing - code.claude.com](https://code.claude.com/docs/en/sandboxing)
+- [Running GitHub Copilot CLI Safely with Docker Sandbox](https://dev.to/brunoborges/running-github-copilot-cli-safely-with-docker-sandbox-2f4i)
+
+## Libraries
+- [anthropic-experimental/sandbox-runtime](https://github.com/anthropic-experimental/sandbox-runtime) - A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container.

docs/ai/agent.md

@@ -28,12 +28,15 @@
 ## Libraries & Tools
 - [agentgateway/agentgateway](https://github.com/agentgateway/agentgateway) - Next Generation Agentic Proxy for AI Agents and MCP servers
 - [microsoft/mcp-gateway](https://github.com/microsoft/mcp-gateway) - MCP Gateway is a reverse proxy and management layer for MCP servers, enabling scalable, session-aware stateful routing and lifecycle management of MCP servers in Kubernetes environments.
+- [excalidraw/excalidraw-mcp](https://github.com/excalidraw/excalidraw-mcp) - Fast and streamable Excalidraw MCP App
+- [jgraph/drawio-mcp](https://github.com/jgraph/drawio-mcp)
+- [microsoft/azure-devops-mcp](https://github.com/microsoft/azure-devops-mcp) - The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
 
 ## Samples
 
 - [microsoft/mcp-dotnet-samples](https://github.com/microsoft/mcp-dotnet-samples) - A comprehensive set of samples of creating and using MCP servers and clients with .NET
 - [Azure-Samples/azure-ai-travel-agents](https://github.com/Azure-Samples/azure-ai-travel-agents) - The AI Travel Agents is a robust enterprise application (hosted on ACA) that leverages MCP and multiple LamaIndex AI agents to enhance travel agency operations.
-- [microsoft/azure-devops-mcp](https://github.com/microsoft/azure-devops-mcp) - The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
+
 - [microsoft/lets-learn-mcp-csharp](https://github.com/microsoft/lets-learn-mcp-csharp)
 - [skills/integrate-mcp-with-copilot](https://github.com/skills/integrate-mcp-with-copilot) - Learn how to use MCP Servers with GitHub Copilot
 - [christian-posta/mcp-auth-step-by-step](https://github.com/christian-posta/mcp-auth-step-by-step) - Step by step walkthrough of an MCP Authorization implementation

docs/ai/ai-security.md

@@ -1,7 +1,8 @@
 # Models
 
 ## Articles
-- [Qwen2.5: A Party of Foundation Models!](https://qwenlm.github.io/blog/qwen2.5/)
+- [Choosing the Right Model in GitHub Copilot: A Practical Guide for Developers](https://techcommunity.microsoft.com/blog/azuredevcommunityblog/choosing-the-right-model-in-github-copilot-a-practical-guide-for-developers/4491623)
+- [Compare available AI models in Copilot Chat and choose the best model for your task.](https://docs.github.com/en/copilot/reference/ai-models/model-comparison)
 
 ## Libraries
 - [deepseek-ai/DeepSeek-V2](https://github.com/deepseek-ai/DeepSeek-V2) - DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model