Microsoft's Foundry Agent Service reaches general availability in July 2026, offering hosted AI agents with per-session VM-isolated sandboxes and scale-to-zero pricing. The service supports multiple a…
A team of AI agents governed by five plain-text files runs three agents in production, handling strategy, architecture and coding, and reconnaissance. The governance system uses color-coded zones, a f…
A developer built a tokenization guardrail for AI agents that prevents sensitive data from reaching large language models. The system replaces real customer data with opaque tokens, swaps them back on…
Microsoft released the Agent Framework, enabling developers to build custom agent harnesses with minimal code. The framework bundles function invocation, history persistence, planning, and web search …
Focused Labs analyzes agent handoffs in multi-agent systems, highlighting that handoffs are runtime state changes rather than routing diagrams. The article contrasts orchestration patterns from OpenAI…
A real Node.js team using LangGraph and TypeScript needed to integrate Microsoft's Squad agent framework without rewriting their product in C#, leading to a three-layer architecture where a LangGraph …
Loop Engineering introduces a governance architecture for AI agents that prevents costly errors by adding structured control layers, including task definitions, state separation, tool guards, observat…
A developer building on the Microsoft Agent Framework describes how to connect agents to private knowledge using RAG (Retrieval-Augmented Generation). The approach exposes retrieval as a controlled to…
A developer demonstrated how to quickly start coding with Cadenza by using a vibe coding prompt, then run the resulting .NET 10 file-based app with dotnet run or chmod +x. The example included creatin…
Microsoft researchers propose using information-flow control (IFC) to secure autonomous AI agents against prompt injection and data exfiltration. IFC labels data with integrity and confidentiality tag…
Multi-agent orchestration, where multiple AI agents collaborate on complex tasks, introduces significant operational challenges beyond single-agent systems. A developer explains that while frameworks …
A developer built Lynkr, a self-hosted LLM gateway, to reduce costs in Microsoft Agent Framework workloads. The gateway adds semantic caching, response compression, and model tiering to cut token usag…
The Microsoft Agent Framework has added skills support in beta, built around progressive disclosure that allows agents to load domain expertise on demand rather than including all capabilities in the …
Build5Nines.SharpVector now integrates with the Microsoft Agent Framework to enable local retrieval-augmented generation (RAG) workflows in C#. The combination allows developers to add vector search c…
Microsoft's Agent Framework introduces the `create_harness_agent` function, a production-ready pattern that pre-assembles critical infrastructure components—including tool-calling loops, conversation …
Microsoft released the Microsoft Agent Framework (MAF), a layered SDK designed to help developers build production-ready AI agents that can reason, use tools, and coordinate across systems. The framew…
Warmtebouw deployed nine MCP servers in three months for non-technical business users across ERP, BIM, fleet, energy, and operational systems, bypassing the entire conventional AI stack of orchestrati…
Here is a factual summary of the article: The article introduces "llm-wiki-nocode," a no-code knowledge management system designed to work with Claude Code and GitHub Copilot. It allows users to inge…