Official news, first rumor reports and substantive progress. Each entry keeps the information published at that time.
- Microsoft publishes ThinkingBox, an RL setup that turns database grading into agent rewards
Microsoft posted a Hugging Face article on ThinkingBox, a post-training loop that turns database grading signals into reinforcement-learning rewards for agents. The write-up covers dependability gains, offline policy-relative difficulty estimates and an end-to-end task example.
- Microsoft explains sharing agent skills over MCP's Skills extension, with Foundry toolbox support in preview
A Microsoft Foundry blog post explains the official Skills extension for Model Context Protocol (io.modelcontextprotocol/skills, proposal SEP-2640, now Final), which lets an MCP server list the skills it offers with a manifest of files, sizes and SHA-256 digests so compatible hosts can discover and load them instead of keeping per-agent copies. The extension does not change the skill format or run skills on the server. Microsoft says Foundry's skills support, in preview, follows SEP-2640: skills uploaded to a Foundry project can be referenced in a toolbox and loaded by agents through the toolbox's MCP endpoint.
- Microsoft shows how hosted Foundry agents can answer from SharePoint with each user's own permissions
A Microsoft Foundry blog post walks through building hosted agents in Foundry Agent Service, published to Teams and Microsoft 365 Copilot, that retrieve SharePoint content as the signed-in user rather than as the agent. The agent keeps its own identity for model inference, while a Foundry toolbox and a UserEntraToken connection pass the user's Entra ID token to a Foundry IQ knowledge base, which queries SharePoint live through the Microsoft 365 Copilot Retrieval API so answers only cite documents that user can open. Remote SharePoint knowledge sources in Foundry IQ are in preview, and a sample is on GitHub.
- VS Code video walks through running an agentic AI workflow in the editor with Microsoft Foundry
A VS Code video covers installation, signing in to Microsoft Foundry and an overview of the UI for running an agentic AI workflow inside VS Code.
- Microsoft Execution Containers (MXC) generally available for policy-driven AI agent containment
Microsoft made Execution Containers (MXC) generally available as a policy-driven containment layer for AI agents on Windows, macOS and Linux. Developers declare file and network resources in a JSON policy and multi-language SDK; MXC enforces them via process, session, WSL or experimental MicroVM backends. GitHub Copilot, OpenAI Codex, Replit, LM Studio and Unsloth AI already support it; Windows 365 Cloud PC support is also GA.
- Microsoft argues production agents need more than a container on Kubernetes
A Microsoft Foundry blog post says enterprise teams moving their first agents to production often plan to containerize them and run them on an existing Kubernetes cluster, and explains why agents need more than a place to run.